Why Use This Toolbox?

• About System Identification

  Related Products

  When to Use the GUI Versus the Command Line

  System Identification Workflow

  Commands for Model Estimation

  Tutorials to Help You Get Started

• About This Tutorial

• Preparing Data for System Identification

  Saving the GUI Session

• Estimating Linear Models Using Quick Start

• Estimating Accurate Linear Models

• Viewing Model Parameters

  Exporting the Model to the MATLAB Workspace

  Exporting the Model to the LTI Viewer

• About This Tutorial

  What Is a Continuous-Time Process Model?

• Preparing Data for System Identification

• Estimating a Second-Order Transfer Function (Process Model) with Complex Poles

• Estimating a Transfer Function with a Noise Model

• Viewing Model Parameters

  Exporting the Model to the MATLAB Workspace

• Simulating a System Identification Toolbox Model in Simulink Software

• About This Tutorial

• Preparing Data

• Estimating Step- and Frequency-Response Models

• Estimating Delays in the Multiple-Input System

• Estimating Model Orders Using an ARX Model Structure

• Estimating Continuous-Time Transfer Functions (Process Models)

• Estimating Black-Box Polynomial Models

• Simulating and Predicting Model Output

• About This Tutorial

• What Are Nonlinear Black-Box Models?

• Preparing Data

• Estimating Nonlinear ARX Models

• Estimating Hammerstein-Wiener Models

  Linear Model Structures

  Nonlinear Model Structures

  Recommended Model Estimation Sequence

• Supported Models for Time- and Frequency-Domain Data

  Supported Continuous- and Discrete-Time Models

  Model Estimation Commands

• Creating Model Structures at the Command Line

• Modeling Multiple-Output Systems

  Supported Data

  Ways to Obtain Identification Data

  Ways to Prepare Data for System Identification

  Requirements on Data Sampling

• Representing Data in MATLAB Workspace

• Importing Data into the GUI

• Representing Time- and Frequency-Domain Data Using iddata Objects

• Representing Frequency-Response Data Using idfrd Objects

• Analyzing Data Quality

• Selecting Subsets of Data

• Handling Missing Data and Outliers

• Handling Offsets and Trends in Data

  How to Detrend Data Using the GUI

• How to Detrend Data at the Command Line

• Resampling Data

  Resampling Data Using the GUI

  Resampling Data at the Command Line

• Filtering Data

• How to Filter Data Using the GUI

• How to Filter Data at the Command Line

• Generating Data Using Simulation

• Transforming Between Time- and Frequency-Domain Data

• Manipulating Complex-Valued Data

• Identifying Frequency-Response Models

• Identifying Impulse-Response Models

• Identifying Low-Order Transfer Functions (Process Models)

• Identifying Input-Output Polynomial Models

• Identifying State-Space Models

• Refining Linear Parametric Models

  Extracting Numerical Model Data

• Transforming Between Discrete-Time and Continuous-Time Representations

  Transforming Between Linear Model Representations

• Subreferencing Models

• Concatenating Models

  Merging Models

• About Nonlinear Model Identification

  Preparing Data for Nonlinear Identification

• Identifying Nonlinear ARX Models

• Identifying Hammerstein-Wiener Models

• Linear Approximation of Nonlinear Black-Box Models

  Supported Grey-Box Models

  Data Supported by Grey-Box Models

  Choosing idgrey or idnlgrey Model Object

• Estimating Linear Grey-Box Models

• Estimating Nonlinear Grey-Box Models

  After Estimating Grey-Box Models

  What Are Time-Series Models?

  Preparing Time-Series Data

• Estimating Time-Series Power Spectra

• Estimating AR and ARMA Models

• Estimating State-Space Time-Series Models

  Example - Identifying Time-Series Models at the Command Line

  Estimating Nonlinear Models for Time-Series Data

  What Is Recursive Estimation?

  Commands for Recursive Estimation

• Algorithms for Recursive Estimation

  Data Segmentation

• Validating Models After Estimation

  Plotting Models in the GUI

  Getting Advice About Models

• Simulating and Predicting Model Output

• Residual Analysis

• Impulse and Step Response Plots

  How to Plot Impulse and Step Response Using the GUI

  How to Plot Impulse and Step Response at the Command Line

• Frequency Response Plots

  How to Plot Bode Plots Using the GUI

  How to Plot Bode and Nyquist Plots at the Command Line

• Noise Spectrum Plots

  How to Plot the Noise Spectrum Using the GUI

  How to Plot the Noise Spectrum at the Command Line

• Pole and Zero Plots

  How to Plot Model Poles and Zeros Using the GUI

  How to Plot Poles and Zeros at the Command Line

• Akaike's Criteria for Model Validation

• Computing Model Uncertainty

• Troubleshooting Models

  Next Steps After Getting an Accurate Model

• Using Identified Models for Control Design Applications

  Example - Using System Identification Toolbox Software with Control System Toolbox Software

  Using System Identification Toolbox Blocks in Simulink Models

  Preparing Data

  Identifying Linear Models

• Simulating Identified Model Output in Simulink

  Example - Simulating an Identified Model Using Simulink Software

  Steps for Using the System Identification Tool GUI

• Working with the System Identification Tool GUI