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- Steady-State Operating Points
- Steady-State Operating Point (Trimming)
- View and Modify Operating Points
- Choosing Between Simulation Snapshot and Operating Point from Sp
- Examples and How To
- More About
- Steady-State Operating Points (Trimming) from Specifications
- Steady-State Operating Point Search (Trimming)
- Examples and How To
- More About
- Which States in the Model Must Be at Steady State?
- Steady-State Operating Points from State Specifications
- Code Alternative
- Related Examples
- More About
- Steady-State Operating Point to Meet Output Specification
- Related Examples
- More About
- Initialize Steady-State Operating Point Search Using Simulation
- Compute Steady-State Operating Points for SimMechanics Models
- More About
- Batch Compute Steady-State Operating Points
- See Also
- Change Operating Point Search Optimization Settings
- Code Alternative
- Related Examples
- More About
- Import and Export Specifications For Operating Point Search
- Batch Compute Operating Points with Single Model Compilation
- Steady-State Operating Points from Simulation
- Simulate Simulink Model at Specific Operating Point
- Related Examples
- Handling Blocks with Internal State Representation
- Synchronize Simulink Model Changes with Operating Point Specific
- Linearization
- Linearizing Nonlinear Models
- Specify Model Portion to Linearize
- Specifying Subsystem, Loop, or Block to Linearize
- More About
- Opening Feedback Loops
- More About
- Ways to Specify Portion of Model to Linearize
- Specify Portion of Model to Linearize in Simulink Model
- More About
- Specify Portion of Model to Linearize in Linear Analysis Tool
- Edit Portion of Model to Linearize in Linear Analysis Tool
- Select Bus Elements as Linear Analysis Points
- Code Alternative
- Filtering Options
- Related Examples
- Plant Linearization
- Code Alternative
- Related Examples
- Open-Loop Response of Control System for Stability Margin Analys
- Linearize at Model Operating Point
- Linearize at Trimmed Operating Point
- Code Alternative
- Related Examples
- Linearize at Simulation Snapshots and Triggered Events
- Linearize at Simulation Snapshot
- Code Alternative
- Related Examples
- Linearize at Triggered Simulation Events
- Related Examples
- Visualize Linear System at Multiple Simulation Snapshots
- Examples and How To
- Visualize Linear System of a Continuous-Time Model Discretized D
- Examples and How To
- Visualize Linear System at Trigger-Based Simulation Events
- Examples and How To
- Ordering States in Linearized Model
- Time-Domain Validation of Linearization
- Frequency-Domain Validation of Linearization
- Validate Linearization in Frequency Domain using Linear Analysis
- Step 1. Linearize Simulink model.
- Step 2. Create sinestream input signal.
- Step 3. Select the plot to display the estimation result.
- Step 4. Estimate frequency response.
- Step 5. Examine estimation results.
- Choosing Frequency-Domain Validation Input Signal
- Visualize Models
- Generate MATLAB Code for Repeated or Batch Linearization
- Troubleshooting Linearization
- Linearization Troubleshooting Overview
- Check Operating Point
- Related Examples
- Check Linearization I/O Points Placement
- More About
- Check Loop Opening Placement
- More About
- Check Phase of Frequency Response for Models with Time Delays
- Check Individual Block Linearization Values
- Check Large Models
- Related Examples
- Check Multirate Models
- Controlling Block Linearization
- When You Need to Specify Linearization for Individual Blocks
- Specify Linear System for Block Linearization Using MATLAB Expre
- Specify D-Matrix System for Block Linearization Using Function
- Linearization Configuration Function
- Code Alternative
- Augment the Linearization of a Block
- Models with Time Delays
- Perturbation Level of Blocks Perturbed During Linearization
- Linearizing Blocks with Nondouble Precision Data Type Signals
- Event-Based Subsystems (Externally Scheduled Subsystems)
- Models with Pulse Width Modulation (PWM) Signals
- Related Examples
- Specifying Linearization for Model Components Using System Ident
- Linearizing Hard Drive Model
- Finding a Linear Model for PWM Component
- Specifying the Linearization for PWM Component
- Speeding Up Linearization of Complex Models
- Exact Linearization Algorithm
- Frequency Response Estimation
- Frequency Response Model Applications
- What Is a Frequency Response Model?
- Model Requirements
- Estimation Requires Input and Output Signals
- Creating Input Signals for Estimation
- Modifying Input Signals for Estimation
- Estimate Frequency Response Using Linear Analysis Tool
- Step 1. Open Simulink model and Linear Analysis Tool.
- Step 2. Create an input signal for estimation.
- Step 3. Estimate frequency response.
- Estimate Frequency Response with Linearization-Based Input Using
- Step 1. Linearize Simulink model.
- Step 2. Create sinestream input signal.
- Step 3. Select the plot to display the estimation result.
- Step 4. Estimate frequency response.
- Step 5. Examine estimation results.
- Estimate Frequency Response (MATLAB Code)
- Prerequisites
- Analyzing Estimated Frequency Response
- Troubleshooting Frequency Response Estimation
- When to Troubleshoot
- Time Response Not at Steady State
- What Does This Mean?
- How Do I Fix It?
- FFT Contains Large Harmonics at Frequencies Other than the Input
- What Does This Mean?
- How Do I Fix It?
- Time Response Grows Without Bound
- What Does This Mean?
- How Do I Fix It?
- Time Response Is Discontinuous or Zero
- What Does This Mean?
- How Do I Fix It?
- Time Response Is Noisy
- What Does This Mean?
- How Do I Fix It?
- Effects of Time-Varying Source Blocks on Frequency Response Esti
- Effects of Noise on Frequency Response Estimation
- Estimating Frequency Response Models with Noise Using Signal Pro
- Estimating Frequency Response Models with Noise Using System Ide
- Generate MATLAB Code for Repeated or Batch Frequency Response Es
- Managing Estimation Speed and Memory
- Designing Compensators
- Choosing a Compensator Design Approach
- Introduction to Automatic PID Tuning
- What Plant Does the PID Tuner See?
- PID Tuning Algorithm
- Designing Controllers with the PID Tuner
- Designing Two-Degree-of-Freedom PID Controllers
- Tuning a PID Controller Within a Model Reference
- Troubleshooting Automatic PID Tuning
- Designing a Simulink PID Controller (2DOF) Block for a Reactor
- Introduction of the PID Controller (2DOF) Block
- Opening the Model
- Design Overview
- Opening the PID Tuner
- Initial PID Design
- Design for Disturbance Rejection in the Basic Design Mode
- Design for Disturbance Rejection in the Extended Design Mode
- Completing PID Design with Set-point Weighting
- Designing PID Controller in Simulink with Estimated Frequency Re
- Opening the Model
- PID Tuner Obtaining a Plant Model with Zero Gain From Linearizat
- Obtaining Estimated Frequency Response Data Using Sinestream Sig
- Designing PI with the FRD System in PID Tuner
- Simulating Closed-Loop Performance in Simulink Model
- Designing a Family of PID Controllers for Multiple Operating Poi
- Opening the Plant Model
- Introduction to Gain Scheduling
- Obtaining Linear Plant Models for Multiple Operating Points
- Designing PID Controllers for the Plant Models
- Design and Analysis of Control Systems
- Model Verification
- Monitoring Linear System Characteristics in Simulink Models
- Defining a Linear System for Model Verification Blocks
- Verifiable Linear System Characteristics
- Model Verification at Default Simulation Snapshot Time
- Model Verification at Multiple Simulation Snapshots
- Model Verification Using Simulink Control Design and Simulink Ve
- Function Reference
- Class Reference
- Alphabetical List
- Block Reference
- Blocks — Alphabetical List
- Model Advisor Checks
- Examples
- Index
- Steady-State Operating Points