Jag_CV_14 Dito 291251 Sarangapani, Jag

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JAGANNATHAN SARANGAPANI
Rutledge-Emerson Distinguished Professor of Electrical and Computer Engineering
Professor of Department of Computer Science (courtesy appointment)
Professor of Department of Engineering Management and Systems Engineering (courtesy appointment)
Site Director of NSF I/UCRC on Intelligent Maintenance Systems
Director, Embedded Control Systems and Networking Laboratory
Missouri University of Science and Technology
222 Emerson Electric Co. Hall • 301 West 16th Street • Rolla, MO 65409-0040
Tel: (573) 341-6775; Fax: (573) 341-4532. Email: sarangap@mst.edu; www.mst.edu/~sarangap
AREAS OF INTEREST: Systems & Control, Neural Network Control, Robotics, Cyber-physical systems,
Diagnostics & Prognostics
EDUCATION: Doctor of Philosophy in Electrical Engineering (1/92-8/94)
Automation and Robotics Research Institute, University of Texas at Arlington
Specialization: Intelligent & Embedded Control of Robotics
Awards: University Doctoral Fellowship Recipient (1/92-8/93)
Rudolf Hermanns Graduate Fellowship holder (9/93-8/94)
University Scholars Fellow (1/92-8/94)
NSF Research Grant Scholar (2/92-08/94)
Doctoral Research Award Recipient of Sigma Xi International Research
Society (4/94)
Master of Science (9/87-12/89); GPA 85%
University of Saskatchewan at Saskatoon, Canada
Specialization: Embedded Control Systems and Robotics
Awards: University of Saskatchewan Summer Graduate Fellowship holder
Bachelor of Electrical Engineering (7/82-8/86); GPA 85.5%
Anna University at Madras, India
Specialization: Embedded Systems and Robotics
Awards: University Gold Medalist for being topper (82-86)
National Merit Scholar (82-86)
Won IEEE best student paper contest (85)
AWARDS:

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University of Missouri Leadership Development Program
Engineers Make a Difference Award in 2008
Boeing Pride Achievement Award 2007
Faculty Excellence Award 2005-2006, 2006-2007
Outstanding Counselor Award for St. Louis (06, 07) and Region 5 in 2006 and
Outstanding IEEE Student Branch Award (06, 07)
Teaching Commendation Award in 2005, Commended for Teaching Excellence in
2007, 2013
Caterpillar Research Excellence Award in 2001
The University of Texas Presidential Award for Research Excellence in 2001
NSF CAREER Award (2000)
UTSA Faculty Research Award (2000)
Elevated to Sr. Member of IEEE in 1999
Received “Patent Award” from Automation and Robotics Research Institute (Dec.96)
Cited in Marquis Who’s Who (Science, Engineering, Finance, World, America)
continuously from 1998 till do date.
Twentieth Century Award for Achievement—International Biographical Center,
Cambridge, UK.
Several Best Paper/session Awards in 2004, 2000

OTHER AWARDS:

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EDITORIAL:

Recipient of University Gold Medal for being University Topper during
undergraduate degree program
Recipient of Papu Subbarao Medal for the best machine design (May 86)
Awarded Gold Medal for being a State Ranker (Dec. 80)
Received Silver Medal from International Rotary Foundation for being best student
(Dec. 80)
(a) Series Co-Editor, IET Control Series UK (2010(b) Associate Editor, UK Royal Institute Transactions on Measurement and Control
(2010-)
(c) Associate Editor, IEEE Transactions on Control Systems Technology (2004-2009)
(d) Associate Editor, IEEE Transactions on Neural Networks (2005-2009)
(e) Associate Editor, IEEE Journal on Systems Engineering (2007-2010)
(f) Editorial Board Member and Steering Committee, International Journal of
Automatic Control and Systems Engineering (ASCE)
(g) Chair and Member, Technical Committee on Intelligent Control (2011(h) Vice Chair, CIS Tech Committee on Adaptive Dynamic Programming and RL
(2013)
(i) Editor-in-Chief, Discrete Dynamics in Nature and Society (2013-)
(j) Editor board, The Scientific World Journal (2013-)

Research Grants: (September 98-Todate):
No.
Title/PIs/Number

Agency

83.

Boeing

82.
81.
80.

79.
78.

77.

76.

75.

74.

Investigation of Advance Concepts in
Passive Tags with Sensors and Data
Communication
and
Prognosis
Applications
IMS Membership
IMS Membership
Investigation of Passive Tags with
Sensors and Prognosis of Structural
Health
IMS Membership
“A Doctoral Program in Security and
Privacy in Mobile Social Network
Space”, Co-PI (PI: Madria)
I/UCRC: Collaborative Research on
Coupled Models for Prognostics and
Health Management, PI
MRI: Development of a Open-source
Dual Probe Atomic Force Microscope
, Co-PI, PI: Doug Bristow
A Heterogeneous Secure Networking
Test-Bed to Counter
Explosives, Co-PI (PI: Sriram
Chellappan)
Invention of Advance Concepts in
Wireless Sensors with Flexible High
and Low Storage Memory and
Temperature/Humidity Sensing
Capabilities and Initiation of
Condition Based Maintenance for

Years of
Support
2014

My Share
100%

Total
Value
$135,000

TDA
Boeing
Boeing
IMS second
membership

2013-2014
2013-2014
2013

10%
100%
100%

$12,000
$40,000
$105,422

TDA/Navair
Dept of
Education

2012-2013
2012-2015

33%
10%

$12,000
$356,584

NSF

2012-2014

50%

$49,999

NSF

2012-2015

15%

$316,044

ARO

2012-2013

20%
($49,800)

$249,978

Boeing

2012-2013

100%

$116,537

73.
72.
71.

70.

69.

68.

67.
66.
65.
64.

63.

62.

61.

60.

59.

58.

57.
56.

55.

Diagnosis and prognosis of Plant
Machinery: IMS second membership
NSF I/UCRC Membership
NSF I/UCRC memberships
Collaborative: Design of Accelerated
Prognostics and Health Management,
Co-PI
Industry/University
Cooperative
Research Center for Intelligent
Maintenance Systems: Five Year
Renewal Phase II, PI
Agile
Systems
Engineering:
Experiential and Active Learning
Approach—Co-PI; PI: Dagli
Adaptive-dynamic
programming
based control of networked control
system
Digital Part Marking and Container
Health Monitoring
NSF IMS Memberships—Boeing I &
II, Kalscott and AVETEC
Secure Network Protocol
Unintended Emission Detection and
Identification, PI
Human-the-loop with Detectors and
Embedded Mobile Sensor Fusion
Center for Detection, PI; Co-PI: Jeff
Dalton of AVETEC
Localization and Tracking of
Explosive Threats using Multi-modal
Sensors, PI;
System Integration, PI; Co-PI Levent
Acar
Cognitive Network and Protocols
using Missouri S&T Mote, Co-PI; PI
Maciej Zawodniok
Design of Hardware Platform for
Multimodal Sensor Detection, Co-PI;
PI-Maciej Zawodniok
Malicious
Device
Identification
Through Statistical Pattern Modeling,
Co-PI; PI-Ivan Guardiola

NSF REU Supplement for Smart
Engines, PI
A Systematic Methodology for Data
Validation and Verification for
Prognostics Applications, Co-PI,
PI:Zawodniok
Agile
Systems
Engineering:
Experiential and Active Learning

Boeing
Boeing,
Kalscott
NSF

2012-2013
2011-2012

100%
86%

$40,000
$52,000

2011-2013

50%

$50,000

NSF

2011-2016

100%

$80,000
(total of
$200,000)

DoD-SERC
from Stevens
Institute
NSF

2011-2012

5%

$119,988

2011-2014

100%

$346,815

Boeing

2011

100%

$60,000

Various

2011-2012

100%

$104,000

Boeing
Army
Research
Laboratory
Army
Research
Laboratory

2010-2011
2010-2013

50%
100%

$25,000
$403,873

2010-2013

100%

$702,120

Army
Research
Laboratory
Army
Research
Laboratory
Army
Research
Laboratory
Army
Research
Laboratory
Leonard
Wood
Institute/Army
Research
Laboratory
NSF

2010-2013

90%

$646,127

2010-2013

10%

$32,881

2010-2013

33%

$450,093

2010-2013

33%

$299,907

2010-2011

10%

$81,351

2010-2011

50%

$6,000

NSF

2010-2012

50%

$49,998

DoD/SERC
(subcontract

2010-2011

4%

$198,556

Approach, Co-PI; PI: Dagli

54.
53.
52.
51.
50.

49.
48.

47.

from Stevens
Institute of
Technology)
Boeing

2010

100%

$72,101.50

AVETEC
NSF
Boeing

2010-2011
2010
2009-2010

100%
10%
100%

$12,000
$20,020
$80,000

NSF

2009-2012

60%
($198,000)

$330,000

Boeing

2009

100%

$60,600

NSF

2009-2010

50%

$49,999

Caterpillar
Chevron

2008-2009

100%

$80,000

Army
Lab/LWI

2008-2009

19%
($100,000)

$529,160

NSF

2008-2009

100%

$50,000

Boeing and
AVETEC

2008-2009

100%

$51,000

Boeing

2008

100%

$109,470

NSF REU Site: Research and
Training Experience for
Undergraduates in the Area of Sensor
Computing, Co-PI (PI: Madria)

NSF

2008-2011

10%
($30,000)

$300,000

NSF
I/UCRC
on
Intelligent
Maintenance
Systems
Center
Memberships

Boeing,
Caterpillar,
Chevron,
Honeywell,
21st Century
Systems
Boeing

2007-2008

100%

$171,000

2007-2008

100%

$25,500

2007-2008

100%

$323,922

2007-2008

100%

$147,000

2007-2010

25%
($102,000)

$384,000

Fault Detection, Isolation, Energy
Monitoring and Prognostics
IMS Membership
NSF REU Site Supplement
I/UCRC Memberships—Boeing I and
II
Smart Engines: Fuel Flexible Engine
Control using Adaptive Neural
Network Critics, PI
Condition-based Maintenance on
Motors
NSF
I/UCRC
Supplement—
parameter based prognostics
NSF
I/UCRC
on
Intelligent
Maintenance
Systems
Center
Memberships

46.

Networked
Zeolite-Capacitive
Sensors
for
Distributed
and
Ubiquitous
Detection
of
Chemical/Biological Threats, Co-PI

45.

NSF I/UCRC Supplement:
immune system engineering

44.
43.

42.

41.

40.
39.

38.

37.

Bio

NSF I/UCRC Memberships
Network Enabled Manufacturing:
Power Utility Monitoring and
Bearing Prognostics

RFID
Application
to
Virtual
Enterprises
IED Localization using Spatial
Diversity
of Wireless
Sensor
Networks
Wireless Head Set for Ramp
Operations
Secure and Adaptable Energy
Efficient Sensor Networks for
Infrastructure Monitoring, Co-PI

Army
Research
Lab/LWI
Air Force
Research Lab
(AFRL)
DOEducation
Co-PI

36.

NSF I/UCRC Memberships

35.

Supply Chain Management
Network Enabled Manufacturing

AvETEC,
Boeing
Boeing
Boeing

2007

100%

$51,000

2007
2007

100%
100%

$60,000
$102,003

Sandia

2006-2007

10%
($1,000)

$10,000

Avchem/NSF

2006-2007

100%

$73,000

AFRL

2006-2008

100%

$ 75,000

Caterpillar,
Chevron,
Boeing, Festo,
Honeywell,
21st Century
Systems
NSF

2006-2007

70%
($147,700)

$211,000

2006-2010

100%

$239,999

NSF

2006-2011

100%

$250,000

Caterpillar
NSF

2006-2006
2006-2007

100%
50%
($27,850)

$25,000
$55,699

2006-2007

50%
($25,000)

$50,000

2006-2007

10%
($143,086)

$680,860

2006-2006

100%

$37,250

2005-2006

70%
($147,700)

$211,000

2005-2005

50%
($2,400)

$4,800

2005-2006

50%
($5,000)

$10,000

2005-2006

10%
($291,251)

$1,270,390

34.
33.

Development and validation of
advanced energy management control
algorithms for short or long term
storage, Co-PI
Chemical Management using RFID

32.
RFID Hardware Integration
31.
30.

29.
28.
27.
26.

25.

24.

23.
22.

21.

20.

19.

NSF I/UCRC Center Membership
fees, PI

Robust adaptive critic NN controllers
for nonlinear dynamic systems, PI
NSF
I/UCRC
on
Intelligent
Maintenance Systems
Hydrualic Pump Prognostics
Katrina
SGER:
Dynamic
Programming based monitoring of
structural health and communication
infrastructure, PI (Co-PI Dr. Saygin)
Caterpillar Electronics University
Research
Award:
Network
Management Protocol, Co-PI
Development and validation of
advanced energy management control
algorithms for short or long term
storage, Co-PI
(with PI: Crow, Co-PIs: McMillin,
Liu)
Real-time
Locating
System
Evaluation
NSF I/UCRC Center Membership
fees, PI

Real-time
Locating
System
Evaluation
(Contract #1050990), PI
Planning Grant: NSF Industry
University Cooperative Center, PI
(EEC-0531580)
(with Drs. Leu and Saygin)
Development and validation of
advanced energy management control
algorithms for short or long term

Caterpillar

Sandia Labs

Boeing
Caterpillar,
Chevron,
Boeing, Festo,
Honeywell,
21st Century
Systems
Boeing

NSF

Sandia Labs

18.

17.

16.

15.

14.

13.

12.

11.
10.
9.
8.

7.
6.

5.

4.

storage, Co-PI
(with PI: Crow, Co-PIs: McMillin,
Liu)
Wireless Sensor Networks for Inquality process monitoring, PI
Research
Experiences
for
Undergraduate Students Supplement
for ECS#0327877, PI (with Dr.
Drallmeier as the Co-PI)
Shop floor management using AutoID technologies in Network Centric
Environments, Co-PI
(PI: Ming Leu, Co-PI: several)
(Overall award $8.5 Million)
Facts Device Interactions, Co-PI
(with PI: Crow, Co-PI: McMillin,
Liu)

Wireless test bed for mobile
computing research, Co-PI, (PI:
Madria; Co-PI: McMillin, Ercal and
Subramanya)
(MRB: $16.5K, UMR: $16.5K)
Multidisciplinary
research
and
training in secure wireless adhoc and
sensor networks (PI) (with Rao,
Wunsch, Miller, Madria, Kapila,
Erickson)
(UMR Match : $126,000)
Adaptive neural architectures for
emission control of engines (PI)
(ECS#0327877)
(with
Dr.
Drallmeier)
Adaptive
traffic
management
schemes for the Internet
Research
Experiences
for
Undergraduate Students Supplement
Equipment donation (appx. value)
CAREER: Sensor-based adaptive
control of complex distributed
systems
(ECS#9985739, ECS#0296191)
Equipment Supplement (with $10K
match) (ECS#0216191)
Bioengineering Materials (Co-PI)
(with Drs. Huang and Singh)

Develop. of an intelligent controller
for a golf swing machine using
MEMS Technologies (#26-5710001)
Microsensor-based
Autonomous

Air Force
Research
Laboratory

2005-2007

50%
($164,913)

$329,826

2004-2005

50%
($3,000)

$6,000

2004-2006

50%
($139,927)

$279,854

2004-2005

100% of
$57,343 Plus
10% of
$244,600

$727,891

2003-2005

25%
($16,750)

$83,500

2003-2006

20%
($92,654)

$463,272

2003-2006

65%
($327,600)

$504,000

Research
Board
NSF

2002-2003

100%

$24,400

2002-2003

100%

$10,125

Motorola, Inc

2001
2000-2005

100%
100%

$185,000
$300,000

NSF

2000-2005

100%

$10,000

Subcontract
from UT
Austin
(NSF)

2000-2001

33%
($32,340)

$98,000

2000-2001

100%

$100,750

1999-2002

100%

$126,275

NSF

Air Force
Research
Laboratory

Sandia Labs

NSF

Dept. of
Education

NSF

NSF

Techathlon,
Inc

3.

2.

1.

robots for MARS Greenhouse
operation
(#26-4315-01)
Develop. of an intelligent controller
for a golf swing machine using
MEMS technologies
Adaptive traffic rate control (#147519-01)
Grant Development

TSGC/NASA

Techathlon,
Inc

1999-2000

100%

$65,000

Faculty
Research
Award
Research and
Development

2000

100%

$5,000

1999 and
2000

100%

$6,000

Total Funding from all sources (98-todate):
Total
My Share:

$14,238,044
$8,254,001

Summary: My shared credit $618K/year for the past 13 years (98-todate).
Other Funded Projects (1994-1998)
No.
1.
2.
3.
4.

5.
6.

Title/PIs/Number

Agency

Autonomous Mining Truck---backup
loading
Data Analysis Tool Development for
Diagnostics/Prognostics
Condition
based
monitoring,
fault
symptom analysis, and Prognostics
Obstacle avoidance for autonomous trucks

Decatur,
Caterpillar
Parts
&
Services
Parts
&
Services
Machine
Research
Board
Decatur
Decatur

Engine diagnostics and prognostics
Embedded blade control of autonomous
dozer
Total Funding: My share
(1994-1998)

Years of
Support
1994-1995

My
Share
100%

Funds

1995-1998

100%

$2,000,000

1995-1998

100%

$1,250,000

1996-1997

100%

$200,000

1996-1997
1997-1998

100%
100%

$150,000
$500,000

$125,000

$4,225,000

Classes Taught:
Teaching at UMR/Missouri S&T
Fall 2001 Semester
Spring 2002 Semester
Fall 2002 Semester
Fall 2002 Semester
Spring 2003 Semester
Fall 2003 Semester
Course Release
Spring 2004 Semester
Spring 2004 Semester
Fall 2004 Semester
Spring 2005 Semester
Spring 2005 Semester
Fall 2005 Semester
Spring 2006 Semester
Summer 2006 Semester

EE 231 Control Systems
EE 434 Nonlinear Control (New course)
CpE/EE 401 High Speed Networks ( New course)
EE 337 Neural Networks for Control (New Course)
CpE/EE/ME 301 Introduction to MEMS (New course)
CpE/EE 401 High Speed Networks (second time)
EE 433 Topics in Control Theory: Adaptive Control (New Course)
EE 231 Control Systems
CpE 448 High Speed Networks (third time)
EE 434 Nonlinear Control Systems
EE 231 Control Systems
CpE 448 High Speed Networks
EE 433 Topic in Control-Neural Network Control (New course)
EE/CpE 301 Wireless Networks (introduced but taught by grad student)

Fall 2006 Semester
Fall 2006 Semester
Spring 2007
Fall 2007

Spring 2008
Fall 2008
Spring 2009
Spring 2009
Fall 2009
Spring 2010
Spring 2011
Fall 2011
Spring 2012
Fall 2012
Spring 2013
Fall 2013
Spring 2014

CpE 448 High Speed Networks
CpE/EE 401 Wireless Adhoc and Sensor Networks (New course taught
by postdoc)
EE 434 Nonlinear Control Systems
EE 433 Topics in Control: Discrete-time Neural Network Control
CpE/EE 401 Wireless Ad hoc and Sensor Networks (New Course
taught by postdoc)
EE 433 Topics in Control: Adaptive Control
CpE/EE/Sys 348 Wireless Networks (taught by postdoc)
CpE 448 High Speed Networks
EE 432 Optimal Control
EE 434 Nonlinear Control Systems
EE 337 Neural Networks for Control
EE 432 Optimal Control
EE 432 Optimal Control
EE 433 Topics in Control: Discrete-time Neural Network Control
EE 433 Topics in Control: Adaptive Control
EE 401 Nonlinear Neural Network Control
EE 434 Nonlinear Control
EE 401 Discrete-time Neural Network Control
EE 432 Optimal Control and Estimation

(Note that within the past three years, several new courses have been introduced and taught)
Teaching AT UTSA
Spring 1999
Spring 1999
Summer 1999
Fall 1999
Fall 1999
Spring 2000
Spring 2000
One Course buyout
Fall 2000
Fall 2000
One course buyout
Spring 2001
Spring 2001
Summer 2001

EE 3413 Analysis and Design of Control Systems
EE 4443 Discrete-Time Control
EE 2323 Engineering Analysis
EE/CS 4723 Intelligent Robotics
EE 5143 Linear Systems and Control
EE 3413 Analysis and Design of Control Systems
EE/CS 5343 Intelligent Robotics
EE 3413 Analysis and Design of Control Systems
EE/CS 5463 Artificial Neural Networks
EE 3413 Analysis and Design of Control Systems
EE/CS 4723 Intelligent Robotics
EE 3523 Electromechanical systems

Note that within three years several courses have been introduced and taught.

PROFESSIONAL EXPERIENCE:
Rutledge Emerson Endowed Chair (2008-present)
Tenured Full Professor and Site Director NSF I/UCRC on Intelligent Maintenance
Systems (2005-present)
Tenured Associate Professor (2001-2004)
Director, Embedded Systems and Networking Laboratory
Investigator, Intelligent Systems Center
Dept. of Electrical and Computer Engineering
The University of Missouri-Rolla
Assistant Professor & Director (98-01) (Associate Prof with Tenure 2001)
Intelligent Systems Laboratory

Dept. of Electrical and Computer Engineering
Adjunct Professor of Computer Science
Investigator, Center for Advanced Computing and Networking
6900 North Loop 1604 West
The University of Texas at San Antonio
San Antonio, Texas 78249.
Director & Staff Engineer (3/96-11/98) (Supervised 15 engineers)
Sr. Project Engineer (9/94-2/96)
Systems and Controls Research
Caterpillar Inc, Peoria.
Funding levels from Industry and federal agencies: Over 1 mil/year
 Directed a Group to Develop and Implement Embedded Systems for Applications
 Developing control algorithms for tractor type tractor machine.
 Managed advanced retarder control project for off-highway trucks.
 Applied learning-based control work automated loading system-eg. excavators
 Directed a team on rapid prototyping technology
 Directed a team to develop data analysis tools for life prediction.
 Directed a group to develop database architecture (DB2) and tool interface.
 Directed a project on extending engine oil life drain intervals.
 Developed navigation, control, and obstacle Avoidance methods for vehicles using
embedded systems, multitasking operating systems, VME and PC 104 platforms.
 Directed diagnostic/prognostic programs using MEMS technologies.
 Developed novel methods to predict life for mechanical components.
 Developed performance models for mechanical components.
 Demonstrated an expert system for intelligent failure diagnosis/prognosis.
 Participated in a group to better control Electro-hydraulic Systems
 Developed and implemented novel path planner for Autonomous Systems
 Worked on obstacle detection systems and developed new techniques
 Developed novel diagnostic and prognostic algorithms for intelligent vehicle
health monitoring using object oriented architecture
 Assembled an intelligent health monitoring system
Research Assistant (1/92-8/94)
Automation and Robotics Research Institute,
The University of Texas at Arlington, Fort Worth, Texas
 Implemented adaptive methods for nonlinear systems on embedded systems
 Developed novel nonlinear controllers for robotics and automation
 Developed and Implemented Intelligent controllers: Neural, Fuzzy and Artificial
Intelligence based technology on Embedded Microprocessor systems
 Developed path planner and control techniques for autonomous systems
 Implemented various control techniques using Embedded Systems
Research Associate and Industrial Consultant (1/90-12/91)
Department of Mechanical and Industrial Engineering
The University of Manitoba, Winnipeg, Canada
 Developed a Microprocessor based controller in a Multi-tasking Environment for a
Flexible Manufacturing Systems
 Implemented novel controllers for Industrial Processes such as Lathe and Milling
Operations
 Designed, developed and Implemented an Intelligent Machine Vision approach for
Automatic Inspection of Printed Circuit Boards for Northern Telecom Inc., (Bell
Northern Research), Canada
 Implemented a knowledge based approach
 Implemented a combined knowledge based with a neural network approach





Taught Digital Control Class for undergraduate students
Supervised undergraduate thesis work control systems and expert system projects
Undertaken several knowledge based system projects for manufacturing
applications
Research Assistant (9/87-12/89)
Department of Electrical Engineering
The University of Saskatchewan at Saskatoon, Canada
 VAX System Manager(9/88-12/89)
 Taught and graded undergraduate control and electronics courses.
 Supervised undergraduate labs
Project Engineer (7/86-8/87)
Engineers India Limited, New Delhi India
 Worked in automating the power plant by supervisory control.
 Developed various software for; operator communication, equipment health
monitoring, plant performance, transformer tap change control, load sharing
 Load shedding
 Examined software for communication protocols for Local Area Networks
 Worked on PLC design and implementation
 Implemented supervisory control of gas pipe lines using VAX 11/780 through
Satellite communication.
 Developed software for SCADA
Programming Languages
: FORTRAN V and 77, Basic, Pascal, C, C++
VAL Language for controlling robots
Programming Languages Developed : EXPA-Natural language
Computer Experience
: VAX 11/750, UNIX, DOS
Software Experience
: Software for CRS plus, Excalibur Robot,
PUMA Robot, ASEA Robot, Image
processing software, Micro logic for
simulation of digital circuits, Auto Cad,
Lotus 123, Scribe, Telegraph, Ms Word.
ACTIVITIES:

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Member of Institution of Engineers, India (82-86)
Member of IEEE Institution of Engineers Inc., USA (88-Present)
Sr. Member (99-present)
Honorary member of Eta Kappa Nu(93-Present)
Honorary member of Tau Beta Pi (93-Present)
Inducted as a Member into International Scientific Research Society Sigma Xi (94Present)
SAE Member (96-present)

Other Professional Activities:
 Program Chairman for IEEE Illinois Valley Section (94-95)
 Branch Counselor, IEEE Student Branch of Univ of Missouri Rolla and Missouri
S&T (03-10)
 Secretary Institution of Engineers (86)
 Chaired sessions, IEEE International Conference on Intelligent Control
(95,96,01, 04)
 Reviewer for IEEE Trans. on Neural Networks (93-Present)
 Reviewer for IEEE Trans. on Automatic Control (93-Present)
 Reviewer for Journal of Intelligent Robotic Systems (93-Present)
 Reviewer for IEEE Control Systems Magazine (92-Present)
 Chaired sessions in American Control Conference (94-Present)
 Reviewer for American Control Conference (93-Present)

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Reviewer for IEEE Conference on Decision and Control (92-Present)
Reviewer for IEEE Conference on Robotics and Automation(93-Present)
Reviewer for IEEE Mediterranean Symposium on Control Directions (94-Present)
Program Committee, Mediterranean Symposium on Control Directions (00, 04)
Reviewer for IEEE Symposium on Intelligent Control (93-Present)
Reviewer for IEEE Conference on Fuzzy Systems (96-Present)
Program Committee for IEEE Symposium on Intelligent Control (96, 99, 01,
03,05)
Chaired sessions in Conference in Decision and Control (1997-till date)
Reviewer for IEE Transactions and Proceedings (1995-Present)
Reviewer for ASME Transactions on Measurements, Dynamics and Control (94present)
Reviewer for IEEE Transactions on Robotics and Automation (95-Present)
Reviewer for IEEE Transactions on Information Technology in Biomedicince (99Present)
Reviewer for International Journal of Adaptive and Signal Processing
Reviewer for Automatica (95-Todate)
Reviewer, IEEE Transactions on Networking (99-Todate)
Reviewer, Neurocomputing (04-)
Finance Chair, 2004 IEEE Symposium on Intelligent Control
Program Committee, 2004 IEEE Conference on Cybernetics and Intelligent
Systems (http://cis-ram.nus.edu.sg/)
Program Committee, 2004 International Conference on Intelligent Knowledge
Systems (IKS), Turkey (http://www.ikss.org/iks-2004.htm)
Steering Committee, 2005 International Congress for Global Science and
Technology
Publicity Chair, 2006 International Conference on Networking, Sensing and
Control
Invited Sessions Chair, 2006 International Symposium on Intelligent Control
Program Chair, 2007 International Symposium on Intelligent Control as part of
first multi conference on systems and control, Singapore
Publicity Chair, 2007 International Symposium on Adaptive Dynamic
Programming
International Technical Program Committee, 2008, 2009 International
Conference of Wireless Communication and Networking (IEEE WCNC)
Program Committee, 2008 IEEE International Joint Conference on Neural
Networks
Program Committee, 2009 International Conference on Systems of Systems
Engineering (SoSE)
Program Committee, 2009,2010 IEEE Globecom
Program Committee, 2009 IEEE ADPRL
Invited Session Chair, 2009 IEEE Mediterranean Symposium on Controls and
Automation
Program Committee, 2009, 2010 IEEE IJCNN, July 20-23, Barcelona, Spain
Program Committee, 2010 8th International Conference on Controls and
Automation (IEEE ICCA), June 9-11th, Xiamen, China
Program Committee, 2010 IEEE Wireless Communications and Networking
Conference, April 18-22nd, Sydney, Australia
Program Committee, 2010 7th International Conference on Informatics in
Control, Automation and Robotics (ICINCO 2010), 15-18th June, Portugal
Program Committee, 2010 Knowledge-based Intelligent Information and
Engineered Systems (KES), Sept. 8-10th, Cardiff UK
Program Committee, 2009, 2010 IEEE SenseApp, Oct 11th-14th, Denver, CO
Program Committee, 2011 3rd International Symposium on Computational

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Intelligence and Data Mining, Paris (CIDM), April 11-25, 2011.
Program Chair, CCA part of 2011 IEEE Multi-Conference on Systems and
Control, Sept 28-30th, Denver CO
Program Chair, 2011 IEEE ADPRL, April 11-15, Paris, France
Member of the International Technical Program Committee, IEEE

International Joint Conference on Neural Networks, (IJCNN), July 29August 5, 2011, San Jose, CA.
Member of the International Technical Program Committee, 8th
International Conference on Informatics in Control, Automation and
Robotics (ICINCO 2011), 15-18th June, 2011, Portugal.
International Program Committee, 2011 IEEE International Conference on
Wireless and Mobile Computing, Networking and Communications (WiMob
2011) Shanghai China, October 10-12.
Technical Program Committee, 2012 IEEE International Conference on
Communications (ICC)
International Program Committee, 2012 IEEE Conference on Control
Applications
Registration Chair, 2012 IEEE Conference on Decision and Control, Orlando,
Dec 2012.
Program Co-Chair, 2013 IEEE ADPRL, April 15-19, Singapore
Vice Chair, Technical Committee on Adaptive Dynamic Programming and
Reinforcement Learning, IEEE CIS (2013Sponsors and Exhibits Chair, 2013 IEEE Conference on Neural Networks,
Dallas, Texas
International Program Committee Member, 2013 IASTED International
Conference on Control and Applications (CA 2013) August 2013.
International Program Committee Member, 2013 Informatics in Control,
Automation and Robotics ICINCO
International Program Committee Member, 2013 10th IEEE International
Conference on Control & Automation (ICCA)
International Program Committee Member, 2013 IEEE ICC 2013 Wireless
Communications Symposium
International Advisory Committee, 2014 ACODS

Other Academic Activities:
 Search Committee Chair, ECE Department Chair (2012 Member, ECE representative of the Budget Affairs Committee (2009-)
 Member, Electronics Faculty Position Recruitment Committee (2012)
 Member, Public Occasions (2011 Controls Area Coordinator (2011 Member, Dept Executive Committee (2011 Member, Campus Professional Degree Selection Committee (2010-)
 Promotion and Tenure Evaluation Faculty member, Engineering Management and
Systems Engineering (2010)
 Dept. P&T Chair (2010-)
 Member, University Wide Tenure Committee (2009)
 Faculty Service Awards Committee (2009)
 ECE Representative, Promotion and Tenure Policy Committee (2008-10)
 Chair, Control Systems Search Committee (2007-08)
 ECE representative, Campus Tenure Committee (07-08)
 Member, Compliance Committee(07 Member, UM Patent Committee (06 Member, Faculty Recruitment Committee Power (2006)

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Member, Academic Freedom Committee(05-09)
Member, Communications Faculty Recruitment Committee (2005)
Member, School of Engineering Honors Committee (03-06)
Member, School of Engineering Awards Committee (02-05)
Member, Dept Graduate Curriculum Committee (06Member, Dept. Laboratory Committee (02-05)
Member, Library Committee (04-05)
Advisor, IEEE Student Branch (03-10)
Member, Graduate Faculty Council
University of Texas Honors Program Committee
University of Texas Graduate Studies Committee
UTSA Library Committee.
UTSA EE Faculty Committee.
UTSA College of Engineering Implementation Committee.
Member, Academic Policy and Curricula Committee
Member, Committee for Several Graduate Students
Administrative Experience

1.
2.
3.
4.
5.

6.

Currently managing NSF I/UCRC Center with 8 companies, several faculty members and part of
60+ company members over three campuses.
Established Embedded Systems and Networking Laboratory at the University of Missouri-Rolla.
Worked with other faculty on the Bioengineering Ph.D. Proposal for EE Department at UTSA and
University Health Science Center. It is approved in 2001.
Assisted the Dean to develop Electrical Engineering Ph.D. Proposal at University of Texas at San
Antonio.
Director & Consultant, Systems and Controls Research, Caterpillar, Inc from 1996-1998, where I
supervised a total of 15 engineers with budgets planned every year. My responsibilities included
hiring and guiding people.
Established Intelligent Systems Laboratory, funded by several agencies, at Univ. of Texas at San
Antonio. Several faculty members later joined the laboratory.
Keynote Talks

1.
2.
3.
4.

“Optimal adaptive control of uncertain continuous-time systems”, in 2013 Chinese Conference on
Decision and Control, Guiyang, China, May 25th, 2013.
Delivered keynote on ”Cyber-Physical Systems”, in NETCOM, Chennai, Dec 23rd, 2012
Delivered a talk in 2007 Intelligent Sensors, Sensor Networks and Information Processing
(ISSNIP), Dec 2007, Melbourne
Delivered a keynote talk at “Neural Network Control”, ANNIE 2009.

REFEREED JOURNAL PAPERS
1. Nurbanu Akylidz, Hao Xu, and S. Jagannathan, “Localization of near field radio controlled unintended
emitting sources in the presence of multipath fading”, IEEE Transactions on Instrumentation and
Measurement, accepted for publication, February 2013.
2. Qiming Zhao, Hao Xu, and S. Jagannathan, “Neural network-based finite-horizon optimal control of
uncertain affine nonlinear discrete-time systems”, IEEE Transactions on Neural Networks and Learning
Systems, accepted for publication with minor revision, February 2014.
3. Qiming Zhao, Hao Xu, and S. Jagannathan, “Optimal control of uncertain quantized linear discretetime systems”, International Journal of Adaptive Control and Signal Processing, accepted for publication,
January 2014.
4. W. Meng, Q.Yang, S. Jagannathan, “Adaptive neural control of high-order uncertain nonaffine
systems: A transformation to affine systems approach”, Automatica, Accepted, January 2014.
5. Hao Xu and S. Jagannathan, “Neural network based finite horizon stochastic optimal control design for
nonlinear networked control systems”, IEEE Transaction on Neural Networks and Learning Systems,
accepted with minor revision, December 2013.
6. Qiming Zhao, Hao Xu, and S. Jagannathan, “Reinforcement neural network learning-based near
optimal output feedback control”, Acta Automatica Sinica, accepted for publication, January 2014. (invited
paper).
7. Qiming Zhao, Hao Xu, and S. Jagannathan, “Fixed final time optimal adaptive control of linear
discrete-time systems in input-output form”, Journal of Artificial Intelligence and Soft Computing
Research, accepted for publication, Sept 2013. (invited paper).
8. H. Ferdowsi, S. Jagannathan, and M. Zawodniok, “An online outlier identification and removal
scheme for improving fault detection performance”, IEEE Transactions on Neural Networks and Learning
Systems, Accepted for publication, Sept. 2013.
9. Balaje Thumati, Miles Fienstein and S. Jagannathan, “A model based fault prognostics scheme for
Takagi-Sugeno systems”, IEEE Transactions on Fuzzy Systems, Accepted for publication, June 2013.
10. Hao Xu, S. Jagannathan, and F.L. Lewis, “Stochastic optimal output feedback design for unknown
linear discrete-time system zero-sum games under communication constraints”, Asian Journal of Control,
accepted for publication, May 2013. (invited paper).
11. Balaje Thumati and S. Jagannathan, “A model based fault prognostics scheme for uncertain nonlinear
discrete-time systems with multiple distinct faults”, Transactions of the Institute of Measurement and
Control, UK, doi: 10.1177/0142331213494992, October 2013.
12. Hassan Zargarzadeh, Travis Dierks and S. Jagannathan, “Adaptive neural network based optimal
control of nonlinear continuous-time systems in strict feedback form”, International Journal of Adaptive
Control and Signal Processing, doi: 10.1002/acs.2432, Sept 2013.
13. R. Basheer and S. Jagannathan, “Localization and tracking of objects using cross-correlation of
shadow fading noise”, IEEE Transactions on Mobile Computing, accepted for publication, January 2013.
14. David Nodland, H. Zargarzadeh, A. Ghosh, and S. Jagannathan, “Neuro-optimal control of an
unmanned helicopter”, Journal of Defense Modeling and Simulation, in Guest editorial by Greg Hudas, D.
Mikulski, and F. Lewis, vol. 11, no. 1, pp.5-18, January 2014.
15. V. Thotla, M. Ghasr, M. Zawodniok and S. Jagannathan, “Detection of super-regenerative receivers

using Hurst parameter”, IEEE Transactions on Instrumentation and Measurement, vol. 62, no. 11, pp. 30063014, March 2013.
16. S. Mehraeen, T. Dierks, S. Jagannathan, and Mariesa Crow, “Zero-sum two-player game theoretic
formulation of affine nonlinear discrete-time systems using neural networks”, IEEE Transactions on
Systems, Man and Cybernetics, vol. 43, no. 6, pp. 1641-1655, 2013.
17. H. Ferdowsi and S. Jagannathan, “A unified model-based fault diagnosis scheme for nonlinear
discrete-time systems with additive and multiplicative faults”, Transactions of the Institute of Measurement
and Control, pp. 452-462, vol. 35, no. 6, August 2013.
18. T. Dierks, B. Brenner and S. Jagannathan, “Neural network-based optimal control of mobile robot
formation with reduced information exchange”, IEEE Transactions on Control Systems Technology, vol.
21, no. 4, 1407-1415, July 2013.
19. J. Hertenstein and S. Jagannathan, “Simulation and detection of unintended electromagnetic emissions
from super-regenerative receivers”, IEEE Transactions on Instrumentation and Measurement, vol. 62, no.
7, pp. 2093-2100, July 2013.
20. M. Ghasr, Vivek Thotla, M. Zawodniok and J. Sarangapani, “Detection of super regenerative receiver
using amplitude modulated stimulation”, IEEE Transactions on Instrumentation and Measurement, vol. 62,
no. 7, pp. 2029-2036, July 2013.
21. David Nodland, Hassan Zargarzadeh and S. Jagannathan, “Neural network-based optimal adaptive
output feedback control of a helicopter UAV”, IEEE Transactions on Neural Networks and Learning
Systems, vol. 24, no. 7, pp. 1061-1073, July 2013.
22. R. Basheer and S. Jagannathan, “Localization of RFID tags using stochastic tunneling”, IEEE
Transactions on Mobile Computing, Vo. 12, no. 6, pp. 1225-1235, June 2013.
23. B. T. Thumati, G. Halligan and S. Jagannathan, “A novel fault diagnostics and prognostics scheme
using a nonlinear observer with artificial immune system as an online approximator”, IEEE Transactions on
Control Systems Technology, vol. 21, no. 3, pp. 569-578, May 2013.
24. Hao Xu and S. Jagannathan, “Stochastic optimal controller design for uncertain nonlinear networked
control system via neuro dynamic programming”, IEEE Transactions on Neural Networks and Learning
Systems, , vol. 24, issue. 3, pp. 471-484, March 2013.
25. Priya Kasirajan, Carl Larsen, and S. Jagannathan,” A new data aggregation scheme via adaptive
compression for wireless sensor networks”, ACM Transactions on Sensor Networks, vol.9, no.1, pp. 5:15:26, Feb. 2013.
26. Hao Xu and S. Jagannathan, “Optimal adaptive distributed power allocation for enhanced cognitive
radio network in the presence of channel uncertainties”, International Journal of Computer Networks and
Communications, vol. 5, no. 1, pp. 1-20, January 2013.
27. Hassan Zargarzadeh, S. Jagannathan and J. Drallmeier, “Optimal adaptive NN control of nonaffine
nonlinear discrete-time systems with application to HCCI engines”, International Journal of Adaptive
Control and Signal Processing, pp. 592-613, vol. 26, no. 7, 2012. (invited paper)
28. J. Massey, J.B. Bettis, J. Drallmeier and J. Sarangapani, “A thermodynamic based HCCI engine model
for adaptive nonlinear controller development" , Proceedings of the Institution of Mechanical Engineers,
Part D, Journal of Automobile Engineering, Volume 226, no. 11, pp. 1547 - 1563, November 2012.
29. Travis Dierks and S. Jagannathan, “Online optimal control of affine nonlinear discrete-time systems
with unknown internal dynamics by using time-based policy update”, IEEE Transactions on Neural

Networks and Learning Systems, vol. 23, no. 7, July 2012.
30. Hao Xu, S. Jagannathan, F. L. Lewis, “Stochastic optimal control of unknown networked control
systems in the presence of random delays and packet losses”, Automatica, vol. 48, no. 6, pp. 1017-1030,
June 2012.
31. Q. Yang and S. Jagannathan, “Reinforcement learning controller design for affine nonlinear discretetime systems using online approximators”, IEEE Transactions on Systems, Man and Cybernetics: Part B,
vol. 42, no. 2, pp. 377-390, April 2012.
32. T. Dierks, B. Thumati, and S. Jagannathan, “An online model-based fault accommodation scheme for
nonholonomic mobile robots in formation”, Journal of Defense Modeling and Simulation, in Guest editorial
by Greg Hudas, D. Mikulski, and F. Lewis, vol. 9, no. 1, pp.17-32, January 2012.
33. A. Soylemezoglu, S. Jagannathan and C. Saygin, “Mahalanobis-Taguchi system as a multi-sensor
based decision making prognostics tool for centrifugal pump”, IEEE Transactions on Reliability, vol.60,
no.4, pp.864-878, December 2011.
34. S. Mehraeen and S. Jagannathan, “Decentralized near optimal control of a class of interconnected
nonlinear discrete-time systems by using online Hamilton-Jacobi-Bellman formulation”, IEEE Transactions
on Neural Networks, vol. 22, no. 11, pp. 1757-1769. November 2011.
35. S. Mehraeen, S. Jagannathan, and M. L. Crow, “Decentralized dynamic surface control of large scale
interconnected systems in strict feedback form by using neural networks with asymptotic stabilization”,
IEEE Transactions on Neural Networks, vol.22, no. 11, pp. 1709-1722. November 2011.
36. B. Eslamnour, S. Jagannathan, and M. Zawodniok, “Dynamic channel allocation in wireless networks
using adaptive learning automata”, International Journal of Wireless Information Networks, Published
electronically, vol. 18, No. 4, pp. 295-308, 2011.
37. C. Saygin and S. Jagannathan, “Radio frequency identification (RFID) enabling lean manufacturing”,
International Journal of Manufacturing Research, vol. 6, no. 4, pp. 321-336, 2011.
38. S. Ferrari, S. Jagannathan and F. Lewis, “Approximate dynamic programming and reinforcement
learning: editorial”, Journal of Control Theory and Applications, vol. 9, no.3, pp.309, August 2011.
39. T. Dierks and S. Jagannathan, “Online optimal control of nonlinear discrete-time systems using
approximate dynamic programming”, Journal of Control Theory and Applications, vol. 9, no.3, pp.361369, August 2011.
40. Gary Halligan and S. Jagannathan, “PCA-based fault isolation and prognostics with application to
pump”, International Journal of Advanced Manufacturing Technology, vol. 55, no. 5, pp. 699-707, 2011.
41. E. Taqieddin, A. Miller and S. Jagannathan, Survivability and reliability analysis of the trusted link
state protocol for wireless ad hoc networks”, International Journal of Wireless and Mobile Networks, vol.
3, no. 2, pp. 77-89, April 2011.
42. T. Dierks, B. Brenner, and S. Jagannathan, “Discrete time optimal control of nonholonomic mobile
robot formations using linearly parameterized neural networks”, International Journal of Robotics and
Automation, vol. 26, no. 1, pp. 76-85, 2011. (invited)
43. A. Soylemezoglu, S. Jagannathan, and C. Saygin, “Mahalanobis-Taguchi-System as a prognostics tool
for rolling element bearing failures”, ASME Journal of Manufacturing Science and Engineering, vol. 132,
no. 5, Oct 2010.
44. M. L. Crow, M. Zarghami, and S. Jagannathan, “Nonlinear control of FACTS devices for damping

inter-area oscillations in power systems”, IEEE Transactions on Power Delivery, vol. 25, no. 4, pp. 31133121, Oct. 2010.
45. S. Mehraeen, S. Jagannathan, and M. L. Crow, “Power system stabilization using adaptive dynamic
surface control”, IEEE Transactions on Power Systems, vol. pp, no. 99, pp. 1-12, 2010.
46. S. Mehraeen, S. Jagannathan, and M. L. Crow, “Novel dynamic representation and control of power
systems with FACTS devices”, IEEE Transactions on Power Systems, vol. 25, no. 3, pp.1542-1554, May
2010.
47. T. Dierks and S. Jagannathan, “Neural network output feedback control of robot formations”, IEEE
Transactions on Systems, Man and Cybernetics: Part B, vol.40, no. 2, pp. 383-399, April 2010.
48. B. Thumati and S. Jagannathan, “A model based fault detection and prediction scheme for nonlinear
multivariable discrete-time systems with asymptotic stability guarantees”, IEEE Transactions on Neural
Networks, vo. 21, no.3, pp. 404-423, March 2010. (A short review appeared in IEEE Computational
Intelligence Magazine)
49. S. Mehraeen, S. Jagannathan, and K. Corzine, “Energy harvesting from vibration with high voltage
(>100V) scavenging circuitry and tapered cantilever beam”, IEEE Transactions on Industrial Electronics,
vol.57, no. 3, pp. 820-830, March 2010.
50. M. Zarghami, M. L. Crow, and S. Jagannathan (J. Sarangapani), J. Liu, and S. Attcitty, “A novel
approach to inter-area oscillation damping by unified power flow controllers utilizing ultra-capacitors”,
IEEE Transactions on Power Systems, vol. 25, no. 1, pp. 404-412, February 2010.
51. T. Dierks and S. Jagannathan, “Output feedback control of a quadrotor UAV using neural networks”,
IEEE Transactions on Neural Networks, vol.21, no.1, pp. 50-66, January 2010.
52. C. Saygin, Deepak Mohan, and S. Jagannathan, “Real-time detection of grip length deviation during
fastening of bolted joints: A Mahalanobis-Taguchi System (MTS) based approach”, Journal of Intelligent
Manufacturing, vol. 21, no. 4, pp. 377-392, 2010.
53. J.W. Fonda, M. Zawodniok, S. Jagannathan, and S. Watkins, “Adaptive distributed fair scheduling for
multiple channels in wireless sensor networks”, International Journal of Distributed Sensor Networks, vol.
5(6), pp. 824-833, 2009.
54. B. Thumati and S. Jagannathan, “A robust fault detection and prognostics scheme for nonlinear
discrete time input-output systems”, International Journal of Computational Intelligence in Control, vol. 2,
no. 1, pp.71-83, December 2009.
55. P. Shih, B. Kaul, S. Jagannathan, and J. Drallmeier, “Reinforcement learning based output-feedback
control of nonstrict nonlinear discrete-time systems with application to engine emission control”, IEEE
Transactions on Systems, Man and Cybernetics: Part B, vol. 39, no. 5, Page(s):1162 – 1179, Oct. 2009.
56. T. Landstra, M. Zawodniok and S. Jagannathan, “Energy efficient hybrid key management protocols
for wireless sensor networks, Int. Journal of Network Security, vol.9, no.2, pp.121-134, Sept. 2009.
57. T. Dierks, B. Thumati, and S. Jagannathan, “Optimal control of unknown affine nonlinear discretetime systems using offline-trained neural networks with proof of convergence”, Neural Networks,
vol.22.pp. 851-860, 2009.
58. B. Kaul, J. Vance, J. Drallmeier, and Jagannathan Sarangapani, “A method for predicting performance
improvements with effective cycle-to-cycle control of highly dilute SI engine combustion”, Journal of
Automobile Engineering, Proceedings of the Institution of Engineers-Part D, vol. 223,pp. 423-438, 2009.

59. T. Dierks and S. Jagannathan, “Asymptotic adaptive neural network tracking control of nonholonomic
mobile robot formations”, Journal of Intelligent and Robotic Systems: Special Issue, vol. 56, no.1-2, pp.
153-176, 2009.
60. A. Soylemezoglu, M. Zawodniok, and S. Jagannathan, “RFID based smart freezer”, IEEE Transactions
on Industrial Electronics: Special Issue on RFID Technology, vol. 56, no. 7, pp.2347-2356, July 2009.
61. Reghu Anguswamy, C. Saygin, and S. Jagannathan, “In-process detection of fastener grip length using
embedded mobile wireless sensor network-based pull type tools”, International Journal of Manufacturing
Technologies and Special Issue on Advanced Manufacturing Technologies, vol. 4, no.2, pp. 154-170, 2009.
62. T. Dierks and S. Jagannathan, “Neural network control of mobile robot formations using RISE
feedback”, IEEE Transactions on Systems, Man and Cybernetics: Part B, vol. 39, no. 2, pp. 332-347, April
2009.
63. Q.
Yang
and
S.
Jagannathan,
“Adaptive
creep
and
hysteresis
compensation
for nanomanipulation using atomic force microscope”, Asian Journal of Control, Special Issue in Nano
Manipulation and Control, vol. 11, no. 2, pp. 182-187, March 2009.
64. Jianjun Guo, M. L. Crow and S. Jagannathan, “An improved UPFC control for oscillation damping”,
IEEE Transactions on Power Systems, vol. 24, no. 1, pp. 288-296, February 2009.
65. J. Vance, B. Kaul, S. Jagannathan, and J. Drallmeier, “Neuro-emission controller for minimizing cyclic
dispersion of spark ignition engines with EGR levels”, International Journal of General Systems, vol. 37,
no. 6, pp.44-71, January 2009.
66. S. Jagannathan and P. He, “Neural network-based state feedback control of nonlinear discrete-time
system in non-strict feedback form”, IEEE Transactions on Neural Networks, vol. 19, no. 12, pp. 20732087, December 2008.
67. Deepak Mohan, C. Saygin, and S. Jagannathan, “Real-time detection of grip length deviation during
pull-type fastening: A Mahalanobis-Taguchi System (MTS) based approach”, International Journal of
Manufacturing Technology, vol.39, No.9-10, pp. 995-1008, November 2008.
68. Kainan Cha, A. Ramachandran, and S. Jagannathan”, Adaptive and probabilistic power control
algorithms in dense RFID networks”, International Journal of Distributed Sensor Networks, vol. 4, no. 4,
2008.
69. E. Taqieddin, S. Jagannathan, and A. Miller, “Optimal energy delay routing protocol with trust levels
for wireless ad hoc networks”, International Journal of Network Security, vol. 7, no. 2, pp. 207-217, Sept.
2008.
70. P. Shih, B. Kaul, S. Jagannathan, and J. Drallmeier, “Reinforcement learning based dual-control
methodology for complex nonlinear discrete-time systems with application to spark engine EGR
operation”, IEEE Transactions on Neural Networks, vol. 19, no. 8, pp. 1369-1388, August 2008.
71. Q. Yang, J. Vance and S. Jagannathan, “Neural network control of nonaffine nonlinear discrete-time
systems”, IEEE Transactions on Systems, Man and Cybernetics: Part B, vol. 38, no. 4, pp. 994-1001,
August 2008.
72. Anil Ramachandran and S. Jagannathan, “Use of frequency diversity in signal strength based location
determination”, Int. Journal of Ad hoc and Sensor Wireless Networks, vol. 5, no.3-4, pp. 203-233, 2008.
73. J. Fonda, M. Zawodniok, S. Jagannathan and S. Watkins, ”Optimized energy-delay subnet routing
protocol development and implementation for wireless sensor networks”, Smart Materials and Structures,
vol. 17, 045015, pp. 1-14, June 2008.

74. J. Vance and S. Jagannathan, “Discrete-time neural network control of nonlinear systems in nonstrict
feedback form”, Automatica, vol. 44, no. 4, pp. 1020-1027, April 2008.
75. Q. Yang, S. Jagannathan and E. Bohanan,”Automatic drift compensation using phase-correlation
method for nanomanipulation”, IEEE Trans on Nanotechnology, vol. 7, no.2, pp. 209-216, March 2008.
76. J. Vance, A. Singh, B. Kaul, S. Jagannathan and J. Drallmeier, “Output feedback controller for
operation of spark ignition engines at lean conditions using neural networks”, IEEE Transactions on
Control Systems Technology, vol. 16, no.2, pp. 214-228, March 2008.
77. Q. Yang and S. Jagannathan, “A suite of robust controllers for the manipulation of micro-scale
objects”, IEEE Transactions on Systems, Man and Cybernetics-Part B, vol. 38, No. 1, pp. 113-125,
February 2008.
78. Z. Chen and S. Jagannathan, “Generalized Hamilton-Jacobi-Bellman formulation-based neural
network control of affine nonlinear discrete-time systems”, IEEE Transactions on Neural Networks, vol.
19, no. 1, pp. 90-106, January 2008.
79. K. Cha, S. Jagannathan, and D. Pommerenke, “Adaptive power control with hardware implementation
for wireless sensor and RFID networks”, IEEE Systems Journal: Special Issue on RFID TechnologyOpportunities and Challenges, Vol. 1, No. 2, pp. 145-153, Dec. 2007.
80. M. Zawodniok and S. Jagannathan, “Energy efficient rate adaptation MAC protocol for wireless ad
hoc networks”, International Journal of Wireless Information Networks, vol. 14, no. 4, pp. 251-263,
November 2007.
81. M. Zawodniok and S. Jagannathan, “Predictive congestion control MAC protocol for wireless sensor
networks”, IEEE Transactions on Wireless Communications, vol. 6, No. 11, pp. 3955 – 3963,Nov. 2007.
82. K. Mitchell, J. Fonda, S. Watkins and S. Jagannathan, “Embeddable modular hardware for multifunctional sensor networks”, Smart Materials and Structures, vol. 16, No. 5, N27-N34, Sept. 2007.
83. Wenxin Liu, Jagannathan Sarangapani, G.K. Venayagamoorthy, Li Lu, D.C. Wunsch II, M. Crow, and
David A. Cartes, " Decentralized neural network-based excitation control large scale power systems,"
International Journal of Control, Automation, and Systems, vol. 5, no. 5, pp. 526-538, October 2007.
84. Wenxin Liu, Jagannathan Sarangapani, G.K. Venayagamoorthy, D.C. Wunsch II, Mariesa L. Crow,
and David A. Cartes, "Two neural network based decentralized controller designs for large scale power
systems," International Journal of Dynamics of Continuous, Discrete and Impulse Systems-Series B:
Application and Algorithm, vol. 14(S1), pp. 486-493, August 2007.
85. Wenxin Liu, Jagannathan Sarangapani, G.K. Venayagamoorthy, D.C. Wunsch II, Mariesa L. Crow,
and David A. Cartes, "Adaptive neural network based stabilizing controller design for single machine
infinite bus power systems," International Journal of Dynamics of Continuous, Discrete and Impulse
Systems - Series B: Supplement Advances in Neural Networks, vol. 14(S1), pp. 494-502, August 2007.
86. J. Vance, A. Singh, B. Kaul, S. Jagannathan and J. Drallmeier, “Neural network controller
development and implementation for spark ignition engines with high EGR levels”, IEEE Transactions on
Neural Networks, vol. 18, no. 4, pp. 1083-1100, July 2007.
87. P. He and S. Jagannathan, “Reinforcement learning-based neural network controller for nonlinear
discrete-time systems with input constraints”, IEEE Transactions on Systems, Man and Cybernetics-Part B,
vol. 37, no.2, pp. 425-437, April 2007.
88. K. Cha, M. Zawodniok, A. Ramachandran, S. Jagannathan and C. Saygin, "Interference mitigation and

read-rate improvement in RFID-based network centric environments", Sensor Review, vol. 26, no. 4, 2006.
89. Q. Yang and S. Jagannathan, “Atomic force microscope-based nano manipulation with drift
compensation”, International Journal of Nanotechnology, vol. 3, no.4, pp. 527-544, 2006.
90. A. Soylemezoglu, M.J. Zawodniok, K. Cha, D. Hall, J. Birt, Saygin, S. Jagannathan, "A testbed
architecture for Auto-ID technologies", Assembly Automation vol.26, no.2, pp.127-136, 2006.
91. M. Peng, S. Jagannathan and S. Subramanya, “End to end congestion control of multimedia high speed
Internet”, Journal of High Speed Networks, vol. 15, no. 4, pp. 357-378, 2006.
92. S. Jagannathan, M. Zawodniok and Q. Shang, “Distributed power control for cellular networks in the
presence of fading channels”, IEEE Transactions on Wireless Communications, vol.5, no.3, pp. 540-549,
March 2006.
93. P. He and S. Jagannathan, “Neuroemission controller for reducing cyclic dispersion in lean combustion
spark ignition engines”, Automatica, vol. 41, pp. 1133-1142, 2005.
94. P. He and S. Jagannathan, “Reinforcement-based neuro-output feedback control of nonlinear discretetime systems with input constraints”, IEEE Transactions on Systems, Man and Cybernetics-Part B, vol. 35,
no. 1, pp. 150-154, Feb. 2005.
95. S. Jagannathan, “Admission control design for high speed networks: A hybrid system approach”,
Journal of High Speed Networks, Vol. 14, pp. 263-281, 2005.
96. S. Jagannathan and G. Galan, “Adaptive critic neural network–based object grasping controller using a
three-fingered gripper”, IEEE Trans. on Neural Networks, vol. 15, No. 2, pp. 395-407, March 2004.
97. S. Jagannathan, and G. Galan, “A one-layer neural network controller with preprocessed inputs for
autonomous underwater vehicles”, IEEE Trans. on Vehicular Technology, vol. 52, no. 5, pp. 1342-1355,
Sept. 2003.
98. S. Jagannathan and J. Talluri, “Adaptive predictive congestion control of high-speed networks”, IEEE
Transactions on Broadcasting, vol.48, no.2, pp.129-139, June 2002.
99. S. Jagannathan and J. Talluri, “Predictive congestion control of ATM networks: Multiple
sources/single buffer scenario”, Automatica, vol. 38, pp. 815-820, 2002.
100. S. Jagannathan, " Control of a class of nonlinear systems using multilayered neural networks”, IEEE
Transactions on Neural Networks, vol.12, no. 5, pp. 1113-1120, September 2001.
101. S. Jagannathan, M.W. Vandergrift, and F. L. Lewis, "Adaptive fuzzy logic control of discrete-time
dynamical systems", Automatica, vol. 36, pp. 229-241, 2000.
102. S. Jagannathan and F. L. Lewis, “Robust backstepping control of a class of nonlinear systems using
Fuzzy Logic”, International Journal of Information Systems”, vol. 12-13, pp. 223-240, 2000. (invited)
103. S. Jagannathan and F. L. Lewis, “Feedback linearization of nonlinear systems using fuzzy logic”,
Journal of Intelligent and Fuzzy systems, vol.7, No.2, pp. 107-124, 1999.
104. S. Jagannathan, "Discrete-Time CMAC control of a feedback linearizable nonlinear systems under a
Persistence of Excitation", IEEE Trans. on Neural Networks, vol. 10, no. 1, pp.128-137, January 1999.
105. S. Jagannathan and F. L. Lewis, “Robust backstepping control of robot manipulators”, Journal of
Intelligent and Robotic Systems”, vol.23, pp.105-128, November 1998. (invited)

106. S. Jagannathan, "Adaptive fuzzy logic control of feedback linearizable nonlinear systems with
persistence of excitation", Automatica, vol. 34, no.11, pp, 1295-1310, November 1998.
107. S. Jagannathan, S. Commuri and F. L. Lewis, "Feedback linearization using CMAC neural networks",
Automatica, vol.34, no.3, March 1998.
108. S. Jagannathan, “Discrete-Time fuzzy logic control of a mobile robot with an onboard manipulator”,
International Journal of Systems Science, vol.28, no.12, pp. 1195-1209, 1997.
109. S. Jagannathan, "Automatic inspection of wave soldered joints using neural networks", Journal of
Manufacturing Systems, vol. 16, no.6, pp. 389-398, 1997.
110. S. Commuri, S. Jagannathan and F. L. Lewis, “CMAC neural network control of robot manipulators”,
Journal of Robotics Systems, vol.14, no.6, pp. 465-482, June 1997.
111. S. Jagannathan and F. L. Lewis, "Robust implicit self-tuning regulator/MRAC: convergence and
stability", Automatica, vol.32, no.12, pp.1629-1644, December 96.
112. S. Jagannathan and F. L. Lewis, "Identification of nonlinear dynamical systems using multilayered
neural networks", Automatica, vol.32, no.12, pp.1707-1712, December 1996.
113. S. Jagannathan and F. L. Lewis, "Discrete-time neural net controller for a class of nonlinear dynamical
systems", IEEE Trans. on Automatic Control, vol.41, no.11, pp. 1693-1699, November 1996.
114. S. Jagannathan, F.L.Lewis, and O.C. Pastravanu, "Discrete-time model reference adaptive control of
nonlinear dynamical systems using neural networks", International Journal of Control, vol.64, no.2, pp.
217-236, 1996.
115. S. Jagannathan and F. L. Lewis, "Discrete-time control of a class of nonlinear dynamical systems",
International Journal of Intelligent Control and Systems, vol.1, no.3, pp.297-325, September 1996.
116. S. Jagannathan and F. L. Lewis, "Neural network controller design and the effect of neural network
size on speed of learning", The International Journal of Intelligent Control and Systems, vol.1, no.1, pp.
119-132, March 96. (invited)
117. S. Jagannathan and F. L. Lewis, "Multilayer neural net controller for a class of nonlinear dynamical
systems", IEEE Trans. on Neural Networks, vol. 7, no.1, pp. 107-130, Jan. 1996.
118. S. Jagannathan, S. Q. Zhu and F. L. Lewis, "Path planning and control of mobile vehicles with
nonholonomic constraints", Robotica, vol. 12, pp. 529-539, 1994.
119. S. Jagannathan, F. L. Lewis, and K. Liu, "Motion control and obstacle avoidance of a mobile robot
with an onboard manipulator", International Journal of Intelligent Manufacturing Systems, vol.5, pp. 287302, 1994. (invited)
120. S. Jagannathan, D. Seebaluck and J. D. Jenness, "Intelligent inspection of wave soldered joints",
Journal of Manufacturing Systems, vol. 11, no.2, pp.137-143, Apr. 92.
Summary: 4.5 refereed journal papers/year.
JOURNAL PAPERS SUBMITTED
Several papers are in review.
BOOK REVIEWS
1. S. Jagannathan, Neural Engineering: Computation, Representation, and Dynamics in Neurobiological

Systems—by C. Eliasmith and C.H. Anderson, IEEE Control Systems Magazine, vol. 25, no. 6, pp. 102106, December 2005.
BOOKS PUBLISHED
1) F. L. Lewis, S. Jagannathan and A. Yesilderik, "Neural Network Control of Robot Manipulators and
Nonlinear Systems", Taylor and Francis, 1999.
2) S. Jagannathan, “Neural Network Control of Nonlinear Discrete-Time Systems”, CRC Press, April 2006.
3) S. Jagannathan, “Wireless Ad hoc and Sensor Networks: Protocols, Performance and Control”, CRC
Press, April 2007.
4) S. Jagannathan and Hao Xu, “Optimal Networked Control Systems”, CRC Press, June 2014.
BOOK CHAPTERS
1) S. Jagannathan and H. Xu, “Neural networks for optimal feedback control”, Online Version, Wiley
Encyclopedia of Electrical and Electronics Engineering, Accepted, 2013.
2) H. Xu, A. Sahoo, and S. Jagannathan, “Neural network control of nonlinear discrete-time systems in
affine form in the presence of a communication network“, ICICIP Book Chapter, Editors: Derong Liu,
Cesare Alippi, Dongbin Zhao, Huaguang Zhang, in Press 2014.
3) Hassan Zargarzadeh, Q. Yang, and S. Jagannathan, “Optimal control of nonaffine nonlinear discretetime systems without using value and policy iterations”, eds. By F. Lewis and D. Liu, IEEE Press, 2013.
4) David Nodland, H. Zargarzadeh, Arpita Ghosh, and S. Jagannathan, “Neural network-based optimal
control of an unmanned helicopter”, AIAA Press, Progress in Aero and Astro, Eds. By John Valasek, 2012.
5) T. Dierks, B. Thumati and S. Jagannathan, “Fault tolerant control of nonholonomic robot formations”,
IGI's book "Intelligent Industrial Systems: Modeling, Automation and Adaptive Behavior" September
2009.
6) B. Thumati and S. Jagannathan, “Estimation and control of nonlinear discrete-time systems”, Recent
Advances in Intelligent Control Systems, Eds. Wen Yu, pp. 89-124, Springer-Verlag, May 2009.
7) T. Dierks and S. Jagannathan, “Neural network control and wireless sensor network based localization of
Quad rotor UAV”, Aerial Vehicles, I-Tech, Vienna, Austria, December 2008.
8) C. Saygin, J. Sarangapani, and S.E. Grassman, “A Systems approach to viable RFID implementation in
the supply chain” in Trends in Supply Chain Design and Management: Technologies and Methodologies,
Editors: Hosang Jung, F. Frank Chen, and Bongju Jeong, Springer, March 2007.
9) S. Jagannathan and F. L. Lewis, "Discrete-time neural network control of nonlinear systems", CRC
Press, pp. 149-176, 1999.
10) S. Jagannathan, "Adaptive fuzzy logic control of feedback linearizable nonlinear systems", Advances
in Fuzzy Control, Springer-Verlag Series, pp.225-261, 1998.
11) F. L. Lewis, S. Jagannathan and A. Yesilderik, "Neural network control of robot arms and nonlinear
systems", Neural Networks for control, Academic Press, pp. 161-212, 1997.
WEB SYMPOSIUM
1. S. Jagannathan and J. Talluri, “Adaptive traffic rate control of ATM networks”, OSEE online
Symposium, Cambridge, October 2000.

2. S. Jagannathan and A. Tohmaz, “Adaptive bandwidth estimation and allocation in ATM
networks”,OSEE online Symposium, Cambridge, April 2001.
REFEREED CONFERENCE PAPERS
1.
Hao Xu and S. Jagannathan, “Finite horizon stochastic optimal control of nonlinear two-player
zero-sum games under communication constraint”, Proc. of the International Joint Conference on Neural
Networks, Beijing China, July 2014.
2.
Avimanyu Sahoo, Hao Xu and S. Jagannathan, “Near optimal event-based control of nonlinear
discrete-time systems in affine form with measured input-output data”, Proc. of the International Joint
Conference on Neural Networks, Beijing China, July 2014.
3.
Hao Xu, Qiming Zhao, Travis Dierks, and S. Jagannathan “Finite-horizon approximately optimal
control of uncertain affine nonlinear continuous-time systems”, Proc. of the American Controls
Conference, accepted for publication, January 2014.
4.
Qiming Zhao, Hao Xu, and S. Jagannathan, “Fixed final-time near optimal regulation of nonlinear
discrete-time systems in affine form using output feedback”, Proc. of the American Controls Conference,
accepted for publication, January 2014.
5.
Hasan Ferdowsi and S. Jagannathan, “Fault diagnosis of a class of distributed parameter systems
modeled by parabolic partial differential equations”, Proc. of the American Controls Conference, accepted
for publication, January 2014.
6.
H. Zargarzadeh, S. Jagannathan, James A. Drallmeier, “Extremum-seeking for nonlinear discretetime systems with application to HCCI Engines”, Proc. of the American Controls Conference, accepted for
publication, January 2014.
7.
Avimanyu Sahoo*, Hao Xu, S. Jagannathan, “Neural network approximation-based eventtriggered control of uncertain MIMO nonlinear discrete time systems”, Proc. of the American Controls
Conference, accepted for publication, January 2014.
8.
Qiming Zhao, Hao Xu, and S. Jagannathan. “Finite horizon neural network-based optimal
adaptive control design for affine nonlinear discrete-time systems”, Proc. of the Multi Conference on
Systems and Control, pp. 41-46, August 2013.
9.
A. Sahoo, Hao Xu, S. Jagannathan, “Neural network-based adaptive event-triggered control of
nonlinear continuous-time systems in affine form”, Proc. of the Multi Conference on Systems and Control,
pp. 35-40, August 2013.
10.
Ivo Grondman, Hao Xu, S. Jagannathan and Robert Babuska, “Solutions to finite horizon cost
problems using actor-critic reinforcement learning”, Proc. of the International Joint Conference on Neural
Networks, pp. 325-331, August 2013.
11.
H. Xu and S. Jagannathan, “Neural network based finite horizon stochastic optimal controller
design for nonlinear networked control systems”, Proc. of the International Joint Conference on Neural
Networks, pp. 318-324, August 2013.
12.
Qiming Zhao, Hao Xu, Travis Dierks and Jagannathan Sarangapani. “Finite-horizon neural
network-based optimal control design for affine nonlinear continuous-time systems”, Proc. of the
International Joint Conference on Neural Networks, pp. 2545-2550, August 2013.
13.
Hasan Ferdowsi, S. Jagannathan and M. Zawodniok, “A neural network based outlier
identification and removal scheme”, Proc. of the IEEE International Conference on Prognostics and Health

Management, pp. 1-6, June 2013.
14.
Hasan Ferdowsi, S. Jagannathan and M. Zawodniok, “Neural network based fault detection and
accommodation scheme for distributed systems”, Proc. of the IEEE International Conference on
Prognostics and Health Management, pp. 1-6, June 2013.
15.
A. Sahoo, Hao Xu, S. Jagannathan, “Adaptive event-triggered control of an uncertain linear
discrete time system using measured input and output data”, Proc. of the American Controls Conference,
pp. 5692-5697, June 2013.
16.
A. Sahoo, Hao Xu, S. Jagannathan, “Neural network-based adaptive event trigger control of affine
nonlinear discrete time systems with unknown internal dynamics”, Proc. of the American Controls
Conference, pp. 6433-6438, June 2013.
17.
Hao Xu and S. Jagannathan, “Finite horizon optimal adaptive control of uncertain continuous-time
systems”, Proc. Of the Yale Workshop on Adaptive and Learning Systems, New Haven, CT, June 4-6
2013.
18.
V. Thotla, M. Ghasr, M. Zawodniok and S. Jagannathan, “Correlation based detection and
localization of R/C Electronic devices using array detectors”, Proceedings of the IEEE International
Instrumentation and Measurement Technology Conference (I2MTC), May 2013.
19.
Haifeng Niu and S. Jagannathan, “Passive RFID tag with multimodal sensors with applications”,
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference
(I2MTC), May 2013.
20.
Qiming Zhao, Hao Xu and S. Jagannathan, “Finite horizon optimal control design for uncertain
linear discrete-time systems”, Proc. Of the IEEE Symposium on Adaptive Dynamic Programming and
Reinforcement Learning, pp. 6-12, April 2013.
21.
Hao Xu and S. Jagannathan, “Finite-horizon stochastic optimal control of uncertain linear
networked control systems”, Proc. Of the IEEE Symposium on Adaptive Dynamic Programming and
Reinforcement Learning, pp. 24-30, April 2013.
22.
Haci Guzey and S. Jagannathan, “Neural network-based consensus formation control of mobile
robots”, Proc. Of the SPIE, April 2013.
23.
E. Taqieddin and J. Sarangapani, "Vulnerability analysis of two ultra-lightweight RFID
authentication protocols: RAPP and gossamer," Proc. Of the International Conference For Internet
Technology And Secured Transactions, 2012, vol., no., pp.80-86, 10-12 Dec. 2012.
24.
Hao Xu and S. Jagannathan, “Distributed joint optimal network scheduling and controller design
for wireless networks,” The Fourth International Conference on Networks and Communications
(NeTCoM), Springer Lecture Notes in Electrical Engineering, Vol. 2, pp. 147-162, Dec. 2012.
25.
Hao Xu and S. Jagannathan, “Adaptive optimal distributed power allocation for enhanced
cognitive radio network in presence of channel uncertainties,” The Fourth International conference on
Networks and Communications (NeTCoM), Springer Lecture Notes in Electrical Engineering, vol. 2, pp.
359-370, Dec. 2012.
26.
H. Zargarzadeh, Travis Dierks and S. Jagannathan, “Optimal adaptive control of nonlinear
continuous-time systems in strict feedback form with unknown internal dynamics”, Proceedings of the
IEEE Conference on Decision and Control, pp. 4127-4132, Dec 2012.
27.
T. Dierks and S. Jagannathan, “A self-tuning optimal controller for affine nonlinear continuoustime systems with unknown internal dynamics”, Proceedings of the IEEE Conference on Decision and
Control, pp. 5392-5397, Dec 2012.

28.
Q. Zhao, H. Xu, and S. Jagannathan, “Optimal adaptive controller scheme for uncertain quantized
linear discrete-time system”, Proceedings of the IEEE Conference on Decision and Control, pp. 6132-6137,
Dec 2012.
29.
Hao Xu and S. Jagannathan, “A cross layer approach to the novel distributed scheduling protocol
and event-triggered controller design for cyber physical systems”, Proceedings of the IEEE Conference on
Local Computer Networks, pp. 232-235, Oct 2012.
30.
Thotla, Vivek; Ghasr, Mohammad Tayeb Ahmad; Zawodniok, Maciej; Jagannathan, S.; Agarwal,
Sanjeev; "Detection and localization of multiple R/C electronic devices using array detectors," Proceedings
of the IEEE International Instrumentation and Measurement Technology Conference (I2MTC), pp.16871691, 13-16 May 2012.
31.
David Nodland, H. Zargarzadeh, V. Thotla and S. Jagannathan, “Neuro optimal control of UAV
helicopter to detect unintended emissions”, Proc. of the SPIE Conference, Baltimore, vol. 8387, pp.
83870H, Baltimore, MD,2012.
32.
Vivek Thotla, Mohammad T. A. Ghasr, M. Zawodniok, S. Jagannathan, and S. Agarwal,
“Detection and localization of R/C electronic devices using Hurst parameter”, Proc. of the SPIE
Conference, vol. 8359, pp. 835915, Baltimore, MD, 2012.
33.
R. Kraleti, M. Zawodniok and S. Jagannathan, “Model-based diagnostics and prognostics of a
three Phase induction motor for vapor compressor applications”, Proc. of the IEEE International
Conference on Prognostics and Health Management, June 2012.
34.
Hasan Ferdowsi, Deepthi S. L. Raja and S. Jagannathan, “A decentralized fault detection and
prediction scheme for nonlinear interconnected continuous-time systems”, Proc. of the International Joint
Conference on Neural Networks, pp. 791-797, June 10-15, Brisbane, Australia, 2012.
35.
Qiming Zhao, Hao Xu and S. Jagannathan, “Adaptive dynamic programming-based state
quantized networked control system without value and/or policy iterations”, Proc. of the International Joint
Conference on Neural Networks, pp. 1168-1174, June 10-15, Brisbane, Australia, 2012.
36.
Hao Xu and S. Jagannathan, “Stochastic optimal controller design for unknown networked control
systems under TCP”, Proc. of the American Controls Conference, pp. 6503-6508, Montreal, Canada, 2012.
37.
Hassan Zargarzadeh, T. Dierks, and S. Jagannathan, “State and output feedback-based adaptive
optimal control of nonlinear continuous-time systems in strict feedback form”, Proc. of the American
Controls Conference, pp.6412-6417, June 27-29, Montreal, Canada, 2012.
38.
Hasan Ferdowsi, Deepthi.L. Raja and S. Jagannathan, “Decentralized fault prognosis scheme for
nonlinear interconnected discrete-time systems”, Proc. of the American Controls Conference, pp. 59005905, Montreal, Canada, 2012.
39.
Shahab Mehraeen and S. Jagannathan, “Decentralized adaptive neural network state and output
feedback control of a class of interconnected nonlinear discrete-time systems”, Proc. of the American
Controls Conference, pp. 6406-6411, Montreal, Canada, 2012.
40.
David J. Nodland, Hassan Zargarzadeh, and S. Jagannathan, “Neural network-based optimal
control for trajectory tracking of a Helicopter UAV”, Proc. of the IEEE Conference on Decision and
Control, pp. 3876-3881, Dec 2011.
41.
Qinmin Yang and S. Jagannathan, “Robust integral of neural network and sign of tracking error
control of uncertain nonlinear affine systems using state and output feedback”, Proc. of the IEEE
Conference on Decision and Control, pp. 6765-6770, Dec 2011.

42.
Hasan Ferdowsi and S. Jagannathan, “A unified model-based fault diagnosis scheme for nonlinear
discrete-time systems with additive and multiplicative faults”, Proc. of the IEEE Conference on Decision
and Control, pp.1570-1575, Dec 2011
43.
Hao Xu and S. Jagannathan, “Stochastic optimal control design for nonlinear networked control
system via neuro dynamic programming using input-output measurements”, Proc. of the IEEE Conference
on Decision and Control, pp. 136-141, Dec 2011.
44.
M. Rana Basheer and S. Jagannathan, “'Localization of objects using cross-correlation of shadow
fading noise and copulas”, Proc. of the Globecom, pp. 1-5, Dec 2011.
45.
G. Halligan, B. Thumati and S. Jagannathan, “Artificial immune system-based diagnostics and
prognostics scheme and its experimental verification”, Proc. of the Conference on Control Applications, pp.
958-963. Sept. 2011.
46.
Balaje Thumati*, Miles Feinstein, James W. Fonda, Alfred Turnbull, Fay Weaver, Mark Calkins,
Sarangapani Jagannathan “An online model-based fault diagnosis scheme for HVAC systems”, Proc. of the
Conference on Control Applications, pp. 70-75, Sept. 2011.
47.
Hao Xu, S. Jagannathan “Model-free H-infinite stochastic optimal design for unknown linear
networked control system zero-sum games via Q-learning”, Proc. of the IEEE Symposium on Intelligent
Control, pp. 198-203, Sept. 2011.
48.
Qinmin Yang, S. Jagannathan, Y. Sun, “NN/RISE-based asymptotic tracking control of uncertain
nonlinear systems”, Proc. of the IEEE Symposium on Intelligent Control, pp. 1361-1366, Sept. 2011.
49.
E. Taqieddin, M. Zawodniok, S. Jagannathan, and A. Miller, "Hardware implementation of the
energy-efficient hybrid key management protocol for wireless sensor networks", Proceedings of the
International Conference on Wireless Networks, Las Vegas, USA, 223 – 229, 2011.
50.
Hao Xu and S. Jagannathan, “Stochastic optimal control of unknown linear networked control
system using Q-learning methodology”, Proc. of the American Controls Conference, pp. 2819-2824, June
2011.
51.
Hao Xu and S. Jagannathan, “Optimal controller design for networked control system via adaptive
dynamic programming”, Proc. of the Yale Workshop, June 2011.
52.
J. Hertenstein and S. Jagannathan, “Unintended emission detection and identification”, Proc. of
the SPIE Conference on Defense, Security and Sensing, vol. 8017, April 2011.
53.
D. Nodland, A. Ghosh and S. Jagannathan, “Near optimal control of helicopter UAV”, Proc. of the
SPIE Conference on Defense, Security and Sensing, vol. 8045, pp. 1-10, April 2011.
54.
B. Brenner, T. Dierks, and S. Jagannathan, “Neuro optimal control of robot formations”, Proc. of
the IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, pp. 234-241, April
2011.
55.
H. Zargarzadeh, S. Jagannathan and J. Drallmeier, “Near optimal control of nonaffine nonlinear
system with application to HCCI engines”, Proc. of the IEEE Symposium on Adaptive Dynamic
Programming and Reinforcement Learning, pp. 258-263, April 2011.
56.
R. Basheer and S. Jagannathan, “'Localization of objects using stochastic tunneling”, Proc. of the
IEEE Wireless Communications and Networking Conference, pp. 587-592, March 2011.
57.

T. Dierks and S. Jagannathan, “Optimal control of affine nonlinear continuous-time systems using

an online Hamilton-Jacobi-Isaacs formulation”, Proc. of the IEEE Conference on Decision and Control, pp.
3048-3053, December 2010.
58.
S. Mehraeen, S. Jagannathan and M. L. Crow, “Decentralized state feedback and near optimal
adaptive neural network control of interconnected nonlinear discrete-time systems”, Proc. of the IEEE
Conference on Decision and Control, pp. 114-119, December 2010.
59.
B. Eslamnour and S. Jagannathan, “Adaptive routing scheme for emerging wireless ad hoc
networks”, IEEE Symposium on Reliable Distributed System, pp. 318-322, Nov 2010.
60.
P. Kasirajan, H. Xu, M. Zawodniok, and S. Jagannathan, “Demonstration of the multi-interface
multichannel channel routing protocol for wireless sensor networks using Missouri S&T motes”,
Proceedings of the IEEE Local Computer Networks, Oct 2010.
61.
S. Agarwal, Y. Bodas, Jagannathan Sarangapani, and T. Smith, “Distributed spatiotemporal
detection in wireless sensor networks”, IEEE Conference on Wireless Information Technology and
Systems, August 2010.
62.
James Fonda, S. Jagannathan and Steve Watkins, “Robust neural network RISE observer based
fault diagnostics and prediction”, Proc. of the IEEE International Conference on Neural Networks, pp. 1-8,
July 2010.
63.
S. Mehraeen and S. Jagannathan, “Decentralized near optimal control of a class of interconnected
nonlinear discrete-time systems by using online Hamilton-Bellman-Jacobi formulation”, Proc. of the IEEE
International Conference on Neural Networks, pp. 1-8, July 2010.
64.
Shahab Mehraeen, Travis Dierks, S. Jagannathan, and M. L. Crow, “Zero-sum two-player game
theoretic formulation of affine nonlinear discrete-time systems using neural networks”, Proc. of the IEEE
International Joint Conference on Neural Networks, pp. 1-8, July 2010.
65.
Travis Dierks and S. Jagannathan, “Optimal control of affine nonlinear continuous-time system”,
Proc. of the American Controls Conference, pp. 1568-1573, June 2010.
66.
B. Thumati, T. Dierks, and S. Jagannathan, “Fault tolerant formation control of nonholonomic
mobile robots using online approximators." Proc. of the SPIE symposium on Defense, Security, and
Sensing, April 2010.
67.
Rana Basheer and S. Jagannathan, “A new receiver placement scheme using Delaunay refinement
based triangulation”, Proc. of the IEEE Wireless Networks and Communications Conference, pp.1-6, April
2010.
68.
Priya Kasirajan, Cal Larsen, and S. Jagannathan, “A new adaptive compression scheme for data
aggregation in wireless sensor networks, Proc. of the IEEE Wireless Networks and Communications
Conference, pp. 1-6, April 2010.
69.
J. Bettis, J. Massey, J. Drallmeier, and S. Jagannathan, “Thermodynamic based modeling for
nonlinear control of combustion phasing in HCCI engines,” Proceedings of the 2010 Technical Meeting of
the Central States Section of the Combustion Institute, Champaign, Il, March 21-23, 2010.
70.
T. Dierks and S. Jagannathan, “Optimal tracking control of affine nonlinear discrete-time systems
with unknown internal dynamics”, Proc. of the IEEE Conference on Decision and Control, pp. 6750-6755,
December 2009.
71.
B. Thumati and S. Jagannathan, “A multilayer neural network based identification and control
scheme for a class of nonlinear discrete-time systems with asymptotic stability guarantee”, Proc. of the
IEEE Mediterranean Conference on Control and Automation, pp. 540-545, June 2009.

72.
T. Dierks and S. Jagannathan, “Optimal control of affine nonlinear discrete-time systems”, Proc.
of the IEEE Mediterranean Conference on Control and Automation, pp. 1390-1395, June 2009.
73.
M.R. Basheer and S. Jagannathan, “A new parameter to enhance location accuracy in RSSI based
real-time location systems”, Proc. of the IEEE Conference on Sensor, Mesh, and Ad hoc Communications
and Networks, pp. 1-9, June 2009.
74.
S. Mehraeen, S. Jagannathan, and M. Crow, “Decentralized control of large scale interconnected
systems using adaptive neural network based dynamic surface control”, Proc. of the IEEE International
Joint Conference on Neural Networks, pp. 2058-2064, June 2009.
75.
T. Dierks, B. Thumati and S. Jagannathan, “Adaptive dynamic programming based optimal
control of affine nonlinear discrete-time systems”, Proc. of the IEEE International Joint Conference on
Neural Networks, pp. 711-716, June 2009.
76.
B. Thumati and S. Jagannathan, “A model-based fault detection and accommodation scheme for
nonlinear discrete-time systems with asymptotic stability guarantees”, Proc. of the American Controls
Conference, pp. 4988-4993, June 2009.
77.
T. Dierks and S. Jagannathan, “Neural network control of Quad rotor UAV formations”, Proc. of
the American Controls Conference, pp. 2990-2996, June 2009.
78.
B. Thumati and S. Jagannathan, “Neural network control of a class of nonlinear discrete-time
systems with asymptotic stability guarantees”, Proc. of the American Controls Conference, pp. 2934-2939,
June 2009.
79.
R. Anguswamy, M. Zawodniok, and S. Jagannathan, “A multi-interface multi-channel routing
protocol for wireless ad hoc networks”, Proceedings of the IEEE Wireless Communications and
Networking Conference, pp. 1-6, April 2009.
80.
B. Eslamnour, M. Zawodniok, and S. Jagannathan, “Dynamic channel allocation in wireless
networks using adaptive learning automata”, Proceedings of the IEEE Wireless Communications and
Networking Conference, pp. 1-6, April 2009.
81.
B. Thumati and S. Jagannathan, “A model based fault detection and prognostics scheme for
uncertain nonlinear discrete-time systems”, Proc. of the IEEE Conference on Decision and Control, pp.
392-397, Dec 2008.
82.
T. Dierks and S. Jagannathan, “Neural network output feedback control of a quad rotor UAV”,
Proc. of the IEEE Conference on Decision and Control, pp. 3633-3639, Dec 2008.
83.
S. Mehraeen, S. Jagannathan, and M.L. Crow, “Novel dynamic representation and control of
power networks embedded with FACTS devices”, Proc. of the IEEE Conference on Systems, Man and
Cybernetics, pp. 3171-3176, Oct 2008.
84.
B. Thumati and S. Jagannathan, “A model based fault detection scheme for nonlinear
multivariable systems”, Proc. of the IEEE Conf. on Systems, Man and Cyber., pp. 1978-1983, Oct 2008.
85.
J.W. Fonda, S. Jagannathan and S. Watkins, “Joint adaptive rate and power control for wireless
networks”, Proc. of the IEEE Conference on Systems, Man and Cybernetics, pp. 3216-3221, Oct 2008.
86.
M. Zarghami, M. Crow, S. Jagannathan, Y. Liu, “Damping inter-area oscillations by UPFCs based
on selected global measurements”, IEEE PES General Meeting, pp. 1-6, July 2008.
87.

S. Mehraeen, S. Jagannathan, K. Corzine and J. Huang, “Energy harvesting using piezoelectric

materials and high voltage scavenging circuitry”, Proc. of the IEEE ICIT, pp. 1-8, March 2008.
88.
J. Fonda, S. Watkins, M. Zawodniok, and S. Jagannathan, “Embedded sensor mote for structural
monitoring”, Proc. of the SPIE, March 2008.
89.
J. Fonda, M. Zawodniok, S. Jagannathan, Al Salour, and D. Miller, “Missouri S&T mote-based
demonstration of energy monitoring solution for network enabled manufacturing using wireless sensor
networks (WSN)”, Proc. of the Information Processing in Sensor Networks, pp. 559-560, April 2008.
90.
F. Ren, Y.R. Zheng, and Jagannathan Sarangapani, “Incorporating forward error correction codes
into flexray communications”, Proc. of the Sensip, 2008.
91.
F. Ren, Y.R. Zheng, M. Zawodniok, and S. Jagannathan, “Effects of electromagnetic interference
on control area network performance, Proc. of the IEEE Region 5 Conference, pp. 199 – 204, April 2007.
92.
T. Dierks and S. Jagannathan, “Asymptotic stability of nonholonomic mobile robot formations
using multilayer neural networks”, Proc. of the IEEE Conference on Decision and Control, pp. 1944-1950,
Dec 2007.
93.
B. Thumati and S. Jagannathan, “An online approximation-based fault detection framework for
nonlinear discrete-time systems”, Proc. of the IEEE Conference on Decision and Control, pp. 2608-2613,
Dec 2007.
94.
Q. Yang and S. Jagannathan, “Online reinforcement learning control of unknown
nonaffine nonlinear discrete time systems”, Proc. of the IEEE Conf. on Decision and Control, pp. 59425947, Dec 2007.
95.
D. Mohan, J. Birt, J., C. Saygin, Jagannathan Sarangapani, “Real-time process quality monitoring
using wireless sensor embedded rotary tools for fastening operations,” ASME International Mechanical
Engineering Congress and Exposition, Seattle, Washington, November 10-16, IMECE2007-41647, 2007.
96.
Anguswamy, R., Saygin, C., Jagannathan Sarangapani, “In-process detection of fastener grip
length using embedded mobile wireless sensor networks,” ASME International Mechanical Engineering
Congress and Exposition, Seattle, Washington, November 10-16, IMECE2007-41648, 2007.
97.
Balaje Thumati, Jeffery Birt, Neha Bassi, and Jag Sarangapani, “A neural network model based
approach to predict seal and impeller failures in centrifugal pumps”, ASME International Mechanical
Engineering Congress and Exposition (IMECE), Seattle, Washington, November 10-16, IMECE200741941, 2007.
98.
A. Ramachandran and S. Jagannathan, “Temporal and small-scale compensation using spatial
diversity for signal strength based location determination systems”, Proc. of the IEEE Conference on Local
Computer Networks, pp. 10-17, Oct 2007.
99.
A. Ramachandran and S. Jagannathan, “Use of frequency diversity in signal strength based
WLAN location determination systems”, Proc. of the IEEE Conference on Local Computer Networks, pp.
117-124, Oct 2007.
100.
Tim Landstra, M. Zawodniok and S. Jagannathan, “Energy efficient hybrid key management
protocols for wireless sensor networks”, Proc. of the IEEE Conference on Local Computer Networks, pp.
1009-1016, Oct 2007.
101.
Q. Yang and S. Jagannathan, “Near optimal neural network-based output feedback control of
affine nonlinear discrete-time systems”, Proc. of the IEEE Symposium on Intelligent Control, pp. 578-583,
Oct. 2007.

102.
P. Shih and S. Jagannathan, “Reinforcement learning-based output feedback controller for
complex nonlinear discrete-time systems” Proc. of the IEEE Inter. Symposium on Intelligent Control, pp.
407-412, Oct. 2007.
103.
T. Dierks and S. Jagannathan, “Control of nonholonomic mobile robot formations using neural
networks”, Proc. of the IEEE Conference on Intelligent Control, pp. 132-137, Oct. 2007.
104.
C. Larsen, M. Zawodniok and S. Jagannathan, “Route aware predictive congestion control for
wireless sensor networks”, Proc. of the IEEE Conference on Intelligent Control, pp. 13-18, Oct. 2007.
105.
T. Dierks and S. Jagannathan, “Control of robot formations: backstepping kinematics into
dynamics”, Proc. of the IEEE Conference on Control Applications, pp. 94-99, Oct. 2007.
106.
Wenxin Liu, S. Jagannathan, G. Venayagamoorthy, D. Wunsch, M. Crow, and D. A. Cartes,
“Neural network based decentralized controls of large scale power systems”, IEEE Multi-Conference on
Systems and Control (in ISIC 2007), pp. 676-681, Oct 2007.
107.
Wenxin Liu, S. Jagannathan, G. Venayagamoorthy, D. Wunsch, M. Crow, and D. A. Cartes,
“Comparisons of controllers for power systems”, IEEE Multi-Conference on Systems and Control (in CCA
2007), pp. 922-927, Oct 2007.
108.
T. Dierks and S. Jagannathan, “Neural network control of robot formations using RISE feedback
structure”, Proc. of the IEEE International Joint Conference on Neural Networks, pp. 2794-2799, August
2007.
109.
P. Shih, J. Vance, B. Kaul, S. Jagannathan, and James A. Drallmeier, “Near optimal output
feedback control of nonlinear discrete-time systems in nonstrict feedback form with application to spark
ignition engines” Proc. of the IEEE International Joint Conference on Neural Networks, pp. 396-401,
August 2007.
110.
Q. Yang and S. Jagannathan, “Online reinforcement learning neural network controller design for
affine nonlinear discrete-time systems”, Proc. of the American Controls Conference, pp. 4774-4779, July
2007.
111.
P. Shih, J. Vance, B. Kaul, S. Jagannathan, and James A. Drallmeier, “Reinforcement learning
based output-feedback control of nonlinear nonstrict feedback discrete-time systems with application to
spark ignition engines” Proc. of the American Controls Conference, pp. 5106-5111, July 2007.
112.
C. Saygin and S. Jagannathan, “RFID in manufacturing; the good, the bad and the ugly”, Proc of
the 8th Annual Conference of the Production and Operations Management, Dallas, May 4-7, 2007.
113.
Q. Yang and S. Jagannathan, “Online reinforcement learning neural network controller design for
nanomanipulation”, Proc. of the IEEE International Symposium on Approximate Dynamic Programming,
pp. 225-232, April 2007.
114.
J. Fonda, M. Zawodniok, J. Birt, and S. Jagannathan, “UMR-based demonstration of wireless
sensor network protocols using pneumatics test bed”, Proc. of the Information Processing in Sensor
Networks, pp. 569-570, April 2007.
115.
K. Cha, A. Ramachandran, S. Jagannathan and D. Pommerenke, “Decentralized power control
with hardware implementation for RFID networks”, Proc. of the IEEE Conference on Decision and
Control, pp. 1858-1863, December 2006.
116.
M. Zawodniok and S. Jagannathan, “Dynamic programming-based congestion control MAC
protocol for wireless ad hoc networks”, Proc. of the IEEE Conference on Local Computer Networks, pp.
521-524, Nov. 2006.

117.
J. Fonda, M. Zawodniok, S. Jagannathan and S. Watkins, “Adaptive distributed fair scheduling
and its implementation in wireless sensor networks”, Proc. of the IEEE International Conference on
Systems, Man, and Cybernetics, pp. 3382-3387, Oct 2006. (Invited)
118.
P. He, W. Gao and S. Jagannathan, “Neuro control of nonlinear discrete-time systems with
deadzone and input constraints”, Proc. of the IEEE Conference on Control Applications, pp. 2836-2841,
Oct. 2006.
119.
Q. Yang and S. Jagannathan, “Adaptive critic neural network force controller for atomic force
based nanomanipulation, Proc. of the IEEE International Symposium on Intelligent Control, pp. 464-469,
Oct 2006.
120.
J. Fonda, M. Zawodniok, S. Jagannathan and S. Watkins, “Development and implementation of
optimal energy delay routing protocol in wireless sensor networks”, Proc. of the IEEE International
Symposium on Intelligent Control, pp. 119-124, Oct 2006. (Invited paper)
121.
M. Zawodniok and S. Jagannathan, “Congestion control and routing protocol for wireless sensor
networks”, Proc. of the IEEE Allerton Conference, Sept. 2006. (invited).
122.
A. Singh, J. Vance, B. Kaul, S. Jagannathan and J. Drallmeier, “ Neural network control of spark
ignition engines with high EGR levels”, Proc. of the IEEE Conference on Neural Networks, pp. 49784985, July 2006.
123.
W. Liu, S. Jagannathan, G. Venayagamoorthy, D. Wunsch and D. Cartes, “Decentralized neural
network based excitation control of large scale power systems”, Proc. of the IEEE Conference on Neural
Networks, pp. 1975-1981, July 2006.
124.
H. Wu and S. Jagannathan, “Adaptive neural network control and wireless sensor network-based
localization of UAVs”, Proc. of the IEEE Mediterranean Conf on Control and Autom., pp. 1-6, June 2006.
125.
Q. Yang and S. Jagannathan, “Nanomanipulation using atomic force microscope with
drift compensation, Proc. of the American Controls Conference, pp. 1-6, June 2006.
126.
J. Vance, P. He, B. Kaul, S. Jagannathan, and James A. Drallmeier, “Neural network-based output
feedback controller for lean operation of spark ignition engines” Proc. of the American Controls
Conference, pp. 1-8, June 2006.
127.
K. Cha, A. Ramachandran and S. Jagannathan, “Adaptive and probabilistic power control
algorithms in dense RFID networks”, Proc. of the IEEE Conference on Sensing, Networking, and Control,
pp. 474-479, April 2006.
128.
S. Ratnaraj, S. Jagannathan and V. Rao, “OEDSR: Optimal energy delay subnet routing protocol
for wireless sensor networks”, Proc. of the IEEE Conference on Sensing, Networking, and Control, pp.
330-335, April 2006.
129.
S. Ratnaraj, S. Jagannathan and V. Rao, “SOS: Self organizing protocol for wireless sensor
networks”, Proc. of the SPIE Conference, Feb 2006.
130.
B. McMillin, M. L. Crow, D. Tauritz, F. Liu, B. Chowdhury, and J. Sarangapani, “Improving
Power Transmission Efficiency and Reliability through Hardware/Software Co-Design,” Electricity
Advanced Sensing and Control Conference, Pittsburgh, PA, January 2006. (Invited)
131.
Z. Chen and S. Jagannathan, “Near Optimal Control of a class of nonlinear discrete-time systems
using HJB formulation”, Proc. of IEEE Conference on Decision and Control, pp. 4123-4128, Dec 2005.

132.
P. He, Z. Chen and S. Jagannathan, “Neural network-based control of nonlinear discrete-time
systems in nonstrict feedback form”, Proc. of IEEE Conf. on Decision and Control, pp. 2580-2585, Dec
2005.
133.
E. Taqieddin, S. Jagannathan, and A. Miller, “TLR: Trust level routing protocol for wireless
networks”, Proc. of the Telemetry Conference, pp. 839-848, Nov. 2005.
134.
Q. Yang, S. Jagannathan and E. Bohannan, “Block phase correlation-based manipulation for
atomic force microscopes”, Proc. of the IEEE Nano, vol.1, pp. 370-373, July 2005.
135.
M. Zawodniok and S. Jagannathan, “Predictive congestion control MAC protocol for wireless
sensor networks”, Proc. of the IEEE International Conference on Control and Automation (ICCA), vol. 1,
pp. 185-190, June 2005.
136.
S. Jagannathan, “Decentralized discrete-time neural network controller for a class of nonlinear
systems”, Proc. of the IEEE Symposium on Intelligent Control, pp. 268-273, June 2005.
137.
S. Jagannathan and Q. Yang, “A robust controller for the manipulation of micro scale objects”,
Proc. of American Controls Conference, Vol.6, pp. 4154-4159, June 2005.
138.
S. Jagannathan, P. He, A. Singh and Drallmeier, “Output feedback control of a class of nonlinear
discrete-time systems using neural networks”, Proc. of the Yale Workshop on Adaptive Systems, May
2005.
139.
Niranjan Regatte and S. Jagannathan, “Optimized energy delay routing for wireless ad hoc
networks”, Proc. of the Word Wireless Congress, May 2005.
140.
M. Zawodniok and S. Jagannathan, “Energy efficient rate adaptation MAC Protocol for ad hoc
wireless networks”, Proc. IEEE International Performance Computing and Communications Conference
(IPCCC), pp. 389-394, March 2005.
141.
K. Chakravarty, C. Daw, R.M. Wagner, B.C. Kaul. J. A. Drallmeier, and Jagannathan
Sarangapani, “Modeling nonlinear dynamics in a spark ignition engine with a two-zone thermodynamic
model”, Proceedings of the Combustion Institute, Spring 2005.
142.
W. Liu, S. Jagannathan, D. Wunsch and M. L. Crow, “Decentralized neural network control of a
class of large-scale systems with unknown interconnections”, Proc. of the IEEE Conference on Decision
and Control, vol. 5, pp. 4972-4977, Dec 2004.
143.
W. Liu, S. Jagannathan, G.K. Venayagamoorthy, and D.C. Wunsch II, "Feedback linearization
based power system stabilizer design with control limits", Proceedings of The 36th North American Power
Symposium, August 9-10, 2004, Moscow, Idaho, USA.
144.
P. He, H. Bui, S. Jagannathan, B. Kaul and J. Drallmeier, “Neuro emission controller for
minimizing cyclic dispersion in spark ignition engines with high EGR levels”, Proc. of ANNIE, Vol. 14,
pp. 421-426, Nov. 2004. (won third place in the best paper award category)
145.
V. Janardhan, P. He and S. Jagannathan, “Neural network controller for the manipulation of micro
scale objects”, Proc. of the IEEE Symposium on Intelligent Control, pp. 55-60, September 2004.
146.
W. Liu, S. Jagannathan, G.K. Venayagamoorthy, D. Wunsch and M. Crow, “Neural Network
Stabilizing Control of Single Machine Power System with Control Limits”, Proc. of the IEEE International
Joint Conference on Neural Networks, pp. 1823-1828, July 2004.
147.
N. Regatte and S. Jagannathan, “A new fair scheduling MAC protocol for wireless sensor
networks”, Sensor-Actuator Networks, International Conference on Embedded Systems and Applications,

June 2004.
148.
N. Regatte and S. Jagannathan, “Adaptive and distributed fair scheduling scheme for wireless
adhoc networks”, Proc. of the Word Wireless Congress, pp. 101-106, May 2004.
149.
Sarat Dontula and S. Jagannathan, “Active link protection with distributed power control of
wireless networks”, Proc. of the World Wireless Congress, pp. 612-617, May 2004.
150.
M. Zawodniok and S. Jagannathan, “A distributed power control MAC protocol for wireless
adhoc networks”, Proc. of the IEEE Wireless Communications and Networking Conference, vol. 3, pp.
1915-1920, March 2004.
151.
S. Jagannathan, M. Zawodniok, and Q. Shang, “Distributed power control of wireless cellular
networks in the presence of channel uncertainties”, IEEE INFOCOM, vol.2, 1055-1066, March 2004.
152.
S. Jagannathan and Hameed Mohammed, “Adaptive force-balancing control of MEMS gyroscope
with actuator limits”, Proc. of American Controls Conference, vol.2, pp. 1862-1867, 2004.
153.
Pingan He and S. Jagannathan, “Discrete-time neural network output feedback control of
nonlinear systems in nonstrict feedback form”, Proc. of the American Controls Conference, vol.3, pp,
2439-2444, 2004.
154.
Pingan He and S. Jagannathan, “Reinforcement-learning based output feedback control of
nonlinear systems with input constraints”, Proc. of the American Controls Conference, vol. 3, pp. 25632568, 2004.
155.
Pingan He and S. Jagannathan, “Adaptive critic neural network-based controller for nonlinear
systems with input constraints”, Proc. of the IEEE Conference on Decision and Control, vol. 6, pp. 57095714, 2003.
156.
Pingan He and S. Jagannathan, “Discrete-time neural network control of a class of nonlinear
systems in nonstrict feedback form”, Proc. of the IEEE Conference on Decision and Control, vol. 6, pp.
5703-5708, 2003.
157.
S. Subramanya, S. Jagannathan, and Mingsheng Peng, “End to end rate-based congestion control
of multi-media traffic in packet switched networks”, Proc. of the IEEE Conference on Multimedia and
Expo, vol.3, pp. 357-360, Aug. 2003.
158.
S. Subramanya, Mingsheng Peng and J. Sarangapani, “Rate-based end to end congestion control
of packet switched networks”, Proc. of the IEEE Conference on Infor. Technology, pp. 342-346, July 2003.
159.
Pingan He and S. Jagannathan, “Lean combustion stability of spark ignition engines using
backstepping scheme”, Proc of the IEEE Conference on Controls Applications, vol.1, pp. 167-172, 2003.
160.
Ping an He and S. Jagannathan, “Neuro emission controller for minimzing cyclic dispersion in
spark ignition engines”, Proc of the IEEE Joint Conference on Neural Networks, vol. 2, pp. 1535-1540,
2003.
161.
Ping an He, S. Jagannathan and S. Balakrishnan, “Adaptive critic-based neural network controller
for nonlinear systems with unknown deadzones”, Proc of the IEEE Conference on Decision and Control,
vol.1, pp. 955-960, Dec 2002.
162.
S. Jagannathan, “A system theoretic approach to the design of admission controller for high-speed
networks”, Proc of the IEEE Conference on Decision and Control, vol.4, pp. 3638-3643, Dec 2002.
163.

S. Jagannathan, A. Chronopoulos, and S. Ponipireddy, “Distributed power control in wireless

communication systems”, Proc of the IEEE International Conference on Computer Communications and
Networks, pp. 493-496, Nov. 02.
164.
S. Jagannathan, “A hybrid system theoretic approach for admission control design in multimedia
networks”, Proc of the IEEE International Conference on Local Computer Networks, pp. 150-159, Nov
2002.
165.
S. Jagannathan, “End to end congestion control of multicast high-speed networks”, Proc of the
IEEE International Conference on Local Computer Networks”, pp. 547-556, Nov 2002.
166.
S. Jagannathan, A. Tohmaz, A. Chronopoulos, and H.G. Cheung, “Adaptive admission control of
multimedia traffic in high-speed networks”, Proc. of the IEEE Symposium on Intelligent Control, pp. 728733, Oct 2002.
167.
S. Jagannathan, “Adaptive critic neural network-based controller for nonlinear systems”, Proc. of
the IEEE Symposium on Intelligent Control, pp. 303-308, Oct 2002.
168.
S. Jagannathan, “End to end congestion control of packet switched networks”, Proc. of the IEEE
Conference on Control Applications”, vol. 1, pp. 519-524, Sept. 2002.
169.
S. Jagannathan, “Admission controller design for high-speed networks: A hybrid systems
approach”, Proc. of the IEEE Conference on Control Applications”, vol. 1, pp. 542-546, Sept. 2002.
170.
A. Chronopoulos, S. Ponipireddy, and S. Jagannathan, “Constructing energy efficient broadcast
trees in wireless adhoc networks”, Proc of the International Symposium on Parallel and Distributed
Computing, Romania, pp. 205-213, July 2002.
171.
A. Chronopoulos and S. Jagannathan, “A distributed discrete-time neural network architecture for
pattern allocation and control”, Proc. of IEEE Symposium on Parallel and Distributed Systems (IPADS),
Workshop on Bio-Inspired Solutions to Parallel Processing Problems (BioSP3), April 15-19, pp. 204-211,
2002.
172.
G. Galan and S. Jagannathan, “Adaptive critic-based object grasping controller for a threefingered gripper”, Proc of the IEEE Conference on Decision and Control, vol.4, pp. 3140-3145, Dec. 2001.
173.
S. Jagannathan A. Tohmaz, “congestion control of ATM networks using a Learning
Methodology”, Proc. of the IEEE Conference on Control Applications, pp. 135-140, September 2001.
174.
S. Jagannathan, Annie Levesque and Yesh Singh, “Approximation-based control and avoidance of
a mobile base with an onboard arm for MARS greenhouse operation”, Proc of the IEEE Symposium on
Intelligent Control, pp. 103-108, September 2001.
175.
G. Galan and S. Jagannathan, “Adaptive critic-based object contact controller for a three-fingered
gripper”, Proc of the IEEE Symposium on Intelligent Control, pp. 109-114, September 2001.
176.
S. Jagannathan and J. Talluri, “Congestion control of ATM networks using a multilayered
approach: multiple sources/single buffer scenario”, Proc of American Controls Conference, vol.5, pp. 37893794, June 2001.
177.
S. Jagannathan, Annie Levesque and Yesh Singh, "Adaptive network control of a mobile base
with an arm", Proc of the American Controls Conference, pp. 606-611, 2001.
178.
S. Jagannathan, “Control of a multiple link robot arm at very high speeds for an industrial
application”, Proc. of the American Controls Conference, vol. 2, pp. 793-798, June 2001.
179.

S. Jagannathan, G. Galan and F. L. Lewis, “Control of autonomous underwater vehicles using

neural network Approach”, Proc of the IFAC Symposium on System Structure and Control, August 2001.
180.
S. Jagannathan and J. Talluri, “Predictive congestion control of ATM networks: multiple
sources/single buffer scenario”, Proc of IEEE Conference on Decision and Control, vol.1, pp. 47-52, Dec.
2000.
181.
S. Jagannathan and J. Talluri, “Traffic Rate Control of ATM Networks Using Neural Network
Approach: Single Source/Single Buffer Scenario”, Proc of the IEEE Symposium on Intelligent Control, pp.
315-320, July 2000.
182.
S. Jagannathan and J. Talluri, “Adaptive traffic rate control of ATM networks”, Proc of the
American Control Conference, vol.3, pp.1577-1581, June 2000.
183.
S. Jagannathan and G.V.S. Raju, “Remaining useful life prediction of automotive engine oils
using MEMS technologies”, Proc. of the American Controls Conference, vol.5, pp.3511-3512, June 2000.
184.
S. Jagannathan and A.C. Rogers, "Coordinated motion control of a mobile base with an arm", Proc
of the ASCE Conference, Space and Robotics 2000, pp. 270-276, March 2000.
185.
S. Jagannathan, “Robust backstepping control of a robotic systems using neural networks”,
Proceedings of the IEEE Conference on Decision and Control, vol.1, pp. 943-948, Dec. 98.
186.
S. Jagannathan, “Robust backstepping control of nonlinear systems using multilayered neural
networks”, Proceedings of the IEEE Conference on Decision and Control, vol.1, pp.480-485, Dec. 97.
187.
S. Jagannathan and F. L. Lewis, “Multilayer neural network control of a class of nonlinear
systems”, Proceedings of the IEEE International Conference on Intelligent Control, pp. 181-186, July 97.
188.
S. Commuri and S. Jagannathan, “Modular controls design for robot manipulators using CMAC
neural networks”, Proceedings of the IEEE Conference on Robotics and Automation, vol. 3, pp. 17251730, April 1997.
189.
S. Jagannathan, “Adaptive control of unknown feedback linearizable nonlinear systems”,
Proceedings of the IEEE Conference on Decision and Control, pp. 4747-4752, Dec. 96.
190.
S. Jagannathan, S. Commuri and F. L. Lewis, “Feedback linearization using CMAC neural
networks”, Proceedings of the IEEE Conference on Decision and Control, pp.3304-3309, Dec. 96.
191.
S. Jagannathan, "Discrete-time fuzzy logic control of a mobile robot with an onboard
manipulator", Proceedings of the IEEE Conference on Decision and Control, pp. 1135-1140, Dec. 96.
192.
S. Jagannathan, F. L. Lewis, M. Vandegrift, and S. Commuri, “Feedback linearization of nonlinear
systems using fuzzy logic systems”, Proceedings of the ISAI/IFIS, pp. 385-392, Nov. 96.
193.
S. Jagannathan, "Adaptive fuzzy logic control of a feedback linearizable discrete-time nonlinear
systems ", Proceedings of the IEEE International Conf. on Intelligent Control, pp. 133-138, Sept. 96.
194.
S. Jagannathan, "Discrete-Time CMAC NN control of a feedback linearizable nonlinear systems
under a persistence of excitation", Proceedings of the IEEE International Conf. on Intelligent Control, pp.
462-467, Sept. 96.
195.
S. Jagannathan, "Adaptive discrete-time fuzzy logic control of a feedback linearizable nonlinear
systems", Proceedings of the IEEE International Conf. on Fuzzy Systems, pp. 1273-1278, Sept. 96.
196.
S. Jagannathan, "Adaptive control of feedback linearizable discrete-time nonlinear systems using
neural networks under a persistence of excitation", Proceedings of the IEEE Mediterranean Symposium on

New Directions, pp. 35-40, Jun. 96.
197.
S. Jagannathan, "Discrete-Time fuzzy logic control of a mobile robot with an onboard
manipulator", Proceedings of the IEEE Mediterranean Symposium on New Directions, pp.451-456, Jun.
96.
198.
S. Jagannathan, "Discrete-time adaptive control of feedback linearizable nonlinear systems using
neural networks", Proceedings of the IEEE Conf. on Neural Networks, vol.4, pp. 1704-1709, Jun. 96.
199.
S. Jagannathan and F. L.Lewis, "Discrete-time adaptive fuzzy logic control of robotic systems",
Proceedings of the IEEE Conf. on Robotics and Automation, vol.3, pp.2586-2591, April 96.
200.
S. Jagannathan, "Adaptive control of unknown feedback linearizable systems in discrete-time
using neural networks", Proc. of the IEEE Conf. on Robotics and Automation, vol.1, pp. 258-263, April 96.
201.
S. Commuri, F. L. Lewis and S. Jagannathan, “Discrete-time CMAC neural networks for Control
Applications”, Proceedings of the IEEE Conference on Decision and Control, pp. 2420-2426, Dec. 1995.
202.
S. Jagannathan, "Robust modified implicit self tuning regulator/MRAC convergence and
stability", Proceedings of the IEEE Conference on Systems, Man and Cybernetics, vol.3, pp. 2171-2175,
Oct. 95.
203.
S. Jagannathan and F. L. Lewis, "Multilayer neural net controller for a class of nonlinear
dynamical systems", Proceedings of the IEEE International Symposium on Intelligent Control, pp. 427432, Aug. 95.
204.
S. Jagannathan and F. L. Lewis, "Robust implicit self tuning regulator/MRAC convergence and
stability", Proceedings of the IEEE International Symposium on Intelligent Control, pp. 42-46, Aug. 95.
205.
S. Jagannathan and P.S. Shiakolas, "A comparison of neural network controllers for a mobile base
with an onboard manipulator using neural networks", Proceedings of the IEEE International Symposium on
Intelligent Control, vol. 1, pp. 405-410, Aug. 95.
206.
M. Vandergrift, F. L. Lewis, S. Jagannathan, and K. Liu, "Adaptive fuzzy logic control of
discrete-time dynamical systems", Proceedings of the IEEE International Symposium on Intelligent
Control, pp. 395-401, Aug. 95.
207.
P. Shiakolas and S. Jagannathan, "Control of a mobile robot with an onboard arm using neural
networks", Proceedings of the IEEE Mediterranean Symposium on New Directions and Automation, pp.
315-323, June 95.
208.
S. Jagannathan and F. L. Lewis, "Identification of nonlinear dynamical systems using multilayer
neural networks", Proceedings of the IEEE International Symposium on Intelligent Control, pp. 345-351,
Aug. 94.
209.
A. Yesilderek, S. Jagannathan, and F. L. Lewis, "Continuous and discrete-time neural controllers",
Proceedings of the IEEE Mediterranean Symposium on New Directions and Automation, Crete, pp. 9-16,
June 94.
210.
S. Jagannathan and M. Evans, "Intelligent control of flexible autonomous robots Part I:
architectural considerations", Proceedings of the IEEE Conf. on Neural Networks, vol.5, pp. 2837-2841,
June 94.
211.
S. Jagannathan, "Intelligent control of flexible autonomous robots Part II: implementation",
Proceedings of the IEEE Conf. on Neural Networks, vol.5, pp. 2831-2836, June 94.

212.
S. Jagannathan, F. L. Lewis, and O. C. Pastravanu, "MRAC of nonlinear dynamical systems using
multilayer neural networks", Proceedings of the IEEE Conf. on Neural Networks, vol.7, pp. 4766-4771,
June 94.
213.
S. Jagannathan and F. L. Lewis, "Discrete-time neural net controller with guaranteed
performance", Proceedings of the American Control Conference, pp. 3334-3339, May 1994.
214.
S. Jagannathan, F. L. Lewis and K. Liu, "Modeling, control, and obstacle avoidance of a mobile
robot with an onboard manipulator", Proceedings of the IEEE Symposium on Intelligent Control, vol. 1, pp.
196-201, Aug. 93.
215.
F. L.Lewis, H-Huang, and S. Jagannathan, "A systematic approach to discrete-event controller
design for manufacturing applications control", Proceedings of the American Control Conference, vol.2,
pp. 1525-1531, June 1993.
216.
S. Jagannathan, S. Balakrishnan and N. Popplewell, "Visual inspection of wave soldered joints
using neural networks", Proceedings of the IEEE-IJCNN Conference on Neural Networks, vol.1, pp.7-12,
Dec. 91.
217.
S. Jagannathan, S. Balakrishnan and N. Popplewell, "Sampling and loop delay intervals for digital
control", Proceedings of the ISMM Conference on Mini and Microcomputers, vol.2, pp.114-117, Dec. 91.
218.
S. Jagannathan, N. Popplewell and S. Balakrishnan, "Digital control of a CNC milling machine",
Proceedings of the ISMM Conference on Mini and Microcomputers, vol.2, pp.118-121, Dec. 91.
219.
S. Jagannathan, S. Balakrishnan and N. Popplewell, "Task level language for robot arm control",
Proceedings of the modeling and simulation conference, vol.3, pp.995-1001, May 91.
220.
K. Udayakumar, S. Jagannathan, D. Shankar and E. Vadivelu, "Magnetic levitation and
propulsion", Proceedings of the International Conference on Railway Electrification, New Delhi, Vol.1, pp.
221-223, Oct. 85.
Summary: 9 conference papers/year.

PRESENTATIONS ONLY
1. Soylemezoglu, A., J. Birt, Sarangapani, J, D. Trimble and C. Rouse, “Auto-ID Technologies and
Solutions for Aerospace Manufacturing,” AEROMAT’05, Orlando , Florida , June 6-9, 2005.
2. K. Cha, Soylemezoglu, A., J. Birt, M. Zawodniok, J. Fonda, E. Taqieddin, E. M. Millis-Harris, Saygin,
and J. Sarangapani, “A Testbed for Validation and Benchmarking of Auto-ID Solutions,”
AEROMAT’05, Orlando, Florida, June 6-9, 2005.
3. C. Saygin and J. Sarangapani, “Auto-ID Technologies Research Group at the University of MissouriRolla”, US Air Force Depot Maintenance Transformation (DMT) Automatic Identification Technology
(AIT) Workshop, Sept. 12-15, Ogden, Utah, 2005.
4. J. Sarangapani and C. Saygin, “Monitoring, Diagnostics, and Prognostics Research at the University of
Missouri-Rolla,” 9th Bi-annual Industry Advisory Board Meeting of the Intelligent Maintenance
Systems (NSF I/UCRC) Center, May 2005, Ann Arbor, Michigan.
5. J. Sarangapani and C. Saygin, “Monitoring, Diagnostics, and Prognostics Research at the University of
Missouri-Rolla ,” 8th Bi-annual Industry Advisory Board Meeting of the Intelligent Maintenance
Systems (NSF I/UCRC) Center, Nov 1-2, 2004 , Milwaukee , Wisconsin.
6. S. Jagannathan, “Energy Efficient Protocols for Wireless Networks”, Indian Institute of Technology,

Dept. of Computer Science, Chennai, June 2004.
7. J. Sarangapani, “Monitoring, Diagnostics, and Prognostics Research at the University of Missouri-Rolla
,” 9th Bi-annual Industry Advisory Board Meeting of the Intelligent Maintenance Systems (NSF
I/UCRC) Center, May 2004, Ann Arbor , Michigan.
8. J. Sarangapani, “Monitoring, Diagnostics, and Prognostics Research at the University of Missouri-Rolla
,” 8th Bi-annual Industry Advisory Board Meeting of the Intelligent Maintenance Systems (NSF
I/UCRC) Center, Nov 2003 , Milwaukee , Wisconsin.
9. S. Jagannathan and J. Drallmeier, “Neuro Emission Controller for Spark Ignition Engines”, Sandia
National Laboratories, June 2004.
10. S. Jagannathan and G.V.S Raju, “Integration of Microsensor Arrays”, Tex MEMS, August. 99.
(invited).
11. S. Jagannathan, "Computers and society", National Seminar, Feb. 1983.
12. S. Jagannathan and M. Arif, "Digital techniques in nuclear instrumentation", IEEE Student Chapter,
Madras, pp. 1-7, April 85.

SHORT COURSES
1.
2.
3.

“Embedded Computer Systems”, Offered at IEEE MOCON March 2004
“Wireless Networking”, Offered at IEEE MOCON March 2004. (With Dr. Subramanya)
“Embedded Computer Systems for Control”, Offered at IEEE ISIC Symposium on Intelligent
Control, Oct 2003.

PATENTS AWARDED
1. Jagannathan Sarangapani, A. Ramachandran, C. Saygin, and K. Cha, “Decentralized Radio Frequency
Identification System”, US Patent No. 8143996B2, March 27, 2012.
2. S. Mehraeen and J. Sarangapani, “System and method for harvesting energy from environmental
energy”, US Patent 8,129,887B2, March 6, 2012.
3. Jagannathan Sarangapani, A. Ramachandran, C. Saygin, and K. Cha, “Adaptive Inventory Management
System”, US Patent No. 7752089B2, July 2010.
4. S. Jagannathan and S.K. Rangarajan, “A Method to Predict Severity of a Trend toward an Impending
Machine Failure and Responding to the Same”, US Patent No. 6,442,511, August 2002.
5. S.R. Rangarajan, and S. Jagannathan, “Method and Apparatus for Predicting a Fault Condition using
Nonlinear Curve Fitting Techniques”, US Patent No. 6,363,332, March 26, 2002.
6. S. Jagannathan, “Apparatus and Method for Diagnosing an Engine Using Computer-Based Models in
Combination with a Neural Network”, US Patent No. 6,240,343, May 29, 2001.
7. S. Jagannathan, “A Method for Determining a Desired Response to Detection of an Obstacle”, US
Patent No 6,173,215, January 2001.
8. S. Jagannathan, “Energy-Based Approach for Obstacle Avoidance”, US Patent No. 6,134,502, Oct. 17,
2000.
9. S. Jagannathan, “Method and Apparatus of Predicting a Fault Condition”, US Patent No. 6,119,074,
Sept. 12, 2000.
10. S. Jagannathan and D.R. Schricker, “Apparatus and Method for Diagnosing an Engine Using an
Exhaust Temperature Model “, US Patent No. 6,092,016, July 18, 2000.
11. S. Jagannathan and C. A. Kemner, “Method and Apparatus for Determining an Alternate path in
Response to Detection of An Obstacle”, US Patent No. 60,64,926, May 16, 2000.
12. S. Jagannathan and F.L.Lewis, "Discrete-Time Neural Network Tuning of a Class of Nonlinear
Dynamical Systems", The Univ. of Texas, US Patent No. 6,064,997, May 16, 2000.
13. S. Jagannathan, “Method and Apparatus for Detecting Obstacles Using Multiple Sensors for Range
Selective Detection“, US Patent No. 6,055,042, April 25, 2000.
14. S. Jagannathan, “Method for Determining the Condition of Engine Oil based on TBN Modeling”, US
Patent 5,987,976, November 23, 1999.
15. S. Jagannathan and D. R. Schricker, "Method and Apparatus for Predicting a Fault Condition",
Caterpillar Inc., US Patent No. 5,950,147, September 7, 99.
16. C. Kemner, C. Khoerson, and S.Jagannathan, “System and Method for Managing a Fleet of Mobile
Machines for Dumping at a Plurality of Dump Points”, US Patent No. 5,931,875, August 3, 99.
17. S. Jagannathan et al., “Automated Systems—Automated Loader System”, Defensive Publication,
Research Disclosure Technology Journal, Pub. No. 42368, July 99.
18. S. Jagannathan, D. R. Schricker, and Trent Simpson, “Method for Determining the Condition of Engine
Oil based on Soot Modeling”, US Patent No. 5,914,890, June 22, 1999.

19. S. Jagannathan, “Method and Apparatus for Determining a Path for a Machine between a Predetermined
Route and a Final Position”, US Patent No. 5,752,207, May 12, 98.
20. D.R. Schricker, S. Jagannathan, D. G. Young, Satish M. Shetty, "Method and Apparatus for Comparing
Machines in Fleet", US Patent No. 5,737,215, April 7, 98.

Summary: 1.1 patents/year for the past 16 years
PATENT/PROVISIONAL PATENT FILED
1) K. Cha, M. Zawodniok, A. Ramachandran, S. Jagannathan and C. Saygin, “Decentralized Radio
Frequency Identification System”, Patent Filed, Nov 2007.
2) M. Thiagarajan, M. Zawodniok, S. Jagannathan, “RFID-based Adaptive Inventory Management
System”, Provisional patent application filed in Dec 2007.
INVENTION DISCLOSURES
1) S. Jagannathan, K. Cha, A. Ramachandran, and C. Saygin, “Read Rate and Coverage Improvement
Through Reader Power Control”, Invention Disclosure, January 2006. (patent being filed)
2) S. Jagannathan, S. Ratnaraj, J. Fonda and M. Zawodniok, “Optimal Energy Delay Routing Protocol for
Wireless Sensor Networks”, Invention Disclosure, May 2006.
3) S. Jagannathan, N. Regatte, and M. Zawodniok, “Adaptive and Distributed Fair Scheduling Schemes for
Wireless Sensor Networks”, Invention Disclosure, May 2006.
4) S. Jagannathan and J. Drallmeier, “Neural Network Control of Spark Ignition Engines Operating Lean”,
Invention Disclosure, May 2006.
5) S. Jagannathan and J. Drallmeier, “Neural Network Control of Spark Ignition Engines with High EGR
Levels”, Invention Disclosure, May 2006.
6)S. Jagannathan, “Adaptive HE Implement Control”, Invention Disclosure, November 1998.
7) S. Jagannathan, “On-line HE Learning Control”, Invention Disclosure, November 1998.
8) S. Jagannathan, “A Method to Predict Confidence”, Invention Disclosure, December 1998.
9) S. Jagannathan, F. Lombardi, and C. Ramamoorthy, “A System and Method to Control ON/OFF Valves
and Associated Implement Circuits”, Invention Disclosure, January 1999.

Past Graduate Students
Doctoral Students
1. Pingan He*, “Neural network control of a class of discrete-time nonlinear systems with
application to engine emission control”, December 2004. (GM Power Train, Michigan)
2. Maciej Zawodniok, “Power sensitive algorithms and protocols for wireless ad hoc and sensor
networks”, December 2005. (Assistant Professor, Dept. of Computer Engg, Missouri University of
Science and Technology, Rolla, USA)
3. Jianjun Guo, “Decentralized control and placement of multiple FACTS devices”, co-advisor,
September 2006. (Los Angeles)
4. Eyad Taqeiddin, “Trust level energy efficient routing protocols for wireless ad hoc networks”,
May 2007, co-advisor, (Assistant Professor, Department of Computer Science and Information
Technology, Jordon University of Science and Technology).
5. Qinmin Yang, “Advanced control design of nonlinear dynamical systems using neural networks”,
August 2007. (University of Connecticut and Zhejiang University, China)
6. J. Vance, “Neural network control of nonstrict feedback and nonaffine nonlinear discrete-time
systems with application to engine control”, Sept. 2007. (Advanced Computing and Information
Technology Group, Boeing, Advanced Technologist)
7. James W. Fonda, “Energy efficient wireless sensor network protocols for monitoring and
prognostics of large scale systems”, January 2008. (Advanced Computing and Information
Technology Group, Boeing as an Advanced Technologist).
8. Travis Dierks, “Formation control of mobile robots and UAVs”, August 2009. (DRS
Technologies, St. Louis)
9. Carl Larsen, “Quality of service provisioning through resource allocation and data aggregation in
wireless sensor networks”, August 2009. (Patent Examiner, United States Patents and Trademarks
Office)
10. Shahab Mehraeen, “Decentralized adaptive neural network control of nonlinear dynamic systems
with application to power systems”, Nov. 2009. (Assistant Professor, Louisiana State University,
Baton Rouge; NSF Career Awardee)
11. Balaje Thumati, “Incipient fault prognostics and accommodation for nonlinear discrete-time
systems”, Nov 2009. (Boeing, Seattle)
12. Ahmet Soylemezoglu, “Sensor-based decision making”, Mar. 2010. USACE ERDC-CERL
(United States Army Corps of Engineers - Engineer Research and Development Center Construction Engineering Research Laboratory, Urbana Champaign, IL).
13. Behdis Eslamnour, “Adaptive resource allocation for cognitive wireless ad hoc and hybrid
networks”, October 2010. (Faculty in Iran)
14. Rana Basheer, “Real-time localization system by using received signal strength indicator”, April.
2012. (Broadcom, Irvine, CA).
15. Hao Xu, “Stochastic controller and communication protocol design for the networked control
system”, May 2012. (Assistant Professor, University of Tennessee at Martin).
16. Hassan Zargarzadeh, “Optimal adaptive control of a class of nonlinear continuous and discretetime systems”, August 2012 (Assistant Professor/Instructor, Southern Illinois University,
Carbondale).
17. Hasan Ferdowsi, “Model based diagnosis and prognosis of nonlinear systems”, October 2013.
(Postdoc Missouri S&T)
18. Qiming Zhao, “Finite horizon optimal control of a class of linear and nonlinear systems”, October
2013.
Additional Advisor/Committee Member for Doctoral Students:
1. Wenxin Liu, “Power system stabilizing control using neural networks”, May 2005. Additional
advisor (Assistant Professor, New Mexico State University, Las Cruses)
Master Students
1. J. Talluri, “Adaptive traffic management in ATM Networks”, Dec 2000. (Software company
Austin)
2. A. Tohmaz, “Adaptive bandwidth estimation and control in ATM Networks”, May 2001.
(Beckwith Electronic Engineering Company, San Antonio)

3.
4.
5.
6.
7.
8.
9.
10.
11.
12.
13.
14.
15.
16.
17.
18.
19.
20.
21.
22.
23.
24.
25.
26.
27.
28.
29.

G. Galan, “Neural network control of a class of nonlinear systems”, August 2001. (Software
Engineer Lead in San Antonio)
A. Levesque, “Neural Network-based robot control”, August 2001. Grubber Engineering San
Antonio, Texas.
Satish Ponipireddy, “Distributed power control of wireless networks”, August 2002. (co-advisor)
(SBC Communications)
M. Peng, “End to end congestion control of the INTERNET”, December 2002. co-advisor
(working as a software engineer, California)
S. Dontula, “Power sensitive algorithms and protocols for wireless cellular and adhoc networks”,
May 2003. (Software Engineer, Florida)
M. Hameed, “Adaptive force balancing control of MEMS gyroscope”, May 2003. (Student State
University of New York, Bio Engineering using MEMS sensors)
N. Regatte, “Distributed fair scheduling for wireless ad hoc and sensor networks”, May 2004.
(Design Engineer)
V. Janardhan, “Control of a class of nonlinear systems”, Sept. 2005. (Embedded Systems
Engineer, Peoria, IL)
Jonathan Vance, “Embedded networked system controller for spark ignition control”, November
2005. (Boeing St. Louis)
Sibala Ratnaraj, “Self organizing and optimal energy subnet routing protocol for wireless
networks”, December 2005. (Boeing, CA)
Kainan Cha, “Adaptive and probabilistic power control schemes for RFID networks”, April 2006.
(Garmin, Kansas City)
Tim Landstra, “Hybrid key management and secure routing protocols for wireless sensor
networks”, May 2006. (Sandia National Labs)
Anil Ramachandran, “Improving accuracy in RTLS Systems”, November 2006. (Sprint, Kansas
City and now at Emerson, St. Louis)
Peter Shih, “Reinforcement learning-based NN control of complex nonlinear discrete-time
systems with application to engine control”, November 2006. (Software Engineer, Hugh Res. Lab)
Deepak Mohan, “Real-time grip length detection of rotary tools: A Mahalanobis Taguchi
Strategy”, May 2007, Co-advisor. (Software Engineer at Intel; Now at Garmin, Kansas City)
Travis Dierks, “Nonlinear control of nonholonomic mobile robot formations”, June 2007.
(Doctoral student at Missouri S&T and DRS Technologies, St. Louis)
Amit Shah, “Terahetrz data processing for standoff detection of improvised explosive devices”,
August 2007. Co-advisor (Florida Engineer)
Phani Gajjala, “Energy efficient processor operation and vibration-based energy harvesting
schemes for wireless sensor nodes”, August 2007. (Dallas Engineer)
Reghu Anguswamy, “Wireless sensor network-based prognostic schemes for pull-type tool”, May
2008. (Doctoral student at Virginia Tech in Dept of ECE)
Hindu Kothapalli, “Localization in wired and wireless networks”, May 2009. (Morgan & Chase,
MD)
Gary Halligan, “Fault detection and prediction with application to rotating machinery”, Nov 2009.
(Rockwell Collins, Iowa)
Priya Kasirajan, “Data aggregation”, Dec 2009 (with graduation May 2010). (Garmin
International, Kansas City)
Jake Hertenstein, “Detection of unintended RF emission and explosive threats by using wireless
sensor-based networks”, Jan 2010. (DRS Technologies, St. Louis)
Bryan Brenner, “Embedded implementation of mobile robot formation control”, August 2010.
David Nodland, “Neuro-optimal control of unmanned air vehicle”, Oct 2011 (Caterpillar, Peoria,
IL).
Deepthi Raja, “Decentralized diagnostics and prognostics of discrete-time systems”, May 2012.
R. Kraleti, “Diagnostics and prognostics of a class of industrial systems”, May 2012. (Co-advisor)

Current Graduate Students (All Ph.D.) (expected)
1. Avimanyu Sahoo, “Event-triggered neural network control of a class of linear and nonlinear
systems”, August 2014.
2. Nurbanu Akyuz, “Localization and tracking of unintended emitting devices”, December 2014.

3.
4.
5.
6.

Haci Guzey, “Formation control of unmanned aerial vehicles”, May 2015.
Haifeng Niu, “RFID-based passive networks”, December 2015.
Jia Cai, “Fault detection and isolation in distributed parameter systems”, May 2016.
Behzad Talaei, “Adaptive optimal control of PDE systems”, May 2016.

Current M.S: None
Undergraduate Students:
1. Van Hai Bui, “Neural network control of spark ignition engines with high levels of EGR”,
(Summer 03, Fall 04, Spring 04). Supported by NSF 0327877 grant.
2. Robert Stewart, “Spark ignition engine modeling with high EGR”, Summer 03. NSF #0327877.
3. Jamie McChesney, “Autonomous navigation of a mobile base with an onboard arm for MARS
greenhouse operation (Fall 00, Spring 01) Supported by NASA/TSGC grant.
4. Juan Portillo, “Obstacle avoidance of a mobile base with an onboard arm”, (Fall 00, Spring 01).
Supported by NASA/TSGC.
5. Adam Wolf, “Interfacing the real world-robots and sensors”, Spring 2001. Supported by Office of
Naval Research through ONR Scholar’s program.
6. Cynthia Green, “Force controller”, Spring 2001. ONR Scholars program
External Examiner to Doctoral Students from Other Institutions:
1. Haung Houglin, “Constrained Control of Robotic Mechanisms”, Ph.D. Dissertation, National
University of Singapore, 2004.
2. Alma Yolanda Alanis Garcia, “Control of Nonlinear Discrete-time Systems with Application to
Induction Motor”, CINVESTAV, Guadalajara, Mexico, Sept. 2007.
3. Several from IITs in India
External Examiner for Tenure Decisions: Several from Singapore, USA and from India



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