Product Documentation

Search MATLAB Documentation
R2012a Documentation → System Identification Toolbox
View documentation for other releases	Learn more about System Identification Toolbox

Contents

Index

• Getting Started

• Product Description

Key Features

• About System Identification

What Is System Identification?

About Dynamic Systems and Models

System Identification Requires Measured Data

Building Models from Data

Black-Box Modeling

Grey-Box Modeling

Evaluating Model Quality

Learn More

Related Products

When to Use the GUI Versus the Command Line

System Identification Workflow

Commands for Model Estimation

• About This Tutorial

Objectives

Data Description

• Preparing Data for System Identification

Loading Data into the MATLAB Workspace

Opening the System Identification Tool

Importing Data Arrays into the System Identification Tool

Plotting and Processing Data

Saving the Session

• Estimating Linear Models Using Quick Start

How to Estimate Linear Models Using Quick Start

Types of Quick Start Linear Models

Validating the Quick Start Models

• Estimating Accurate Linear Models

Strategy for Estimating Accurate Models

Estimating Possible Model Orders

Identifying Transfer Function Models

Identifying State-Space Models

Identifying ARMAX Input-Output Polynomial Models

Choosing the Best Model

• Viewing Model Parameters

Viewing Model Parameter Values

Viewing Parameter Uncertainties

Exporting the Model to the MATLAB Workspace

Exporting the Model to the LTI Viewer

• About This Tutorial

Objectives

Data Description

What Is a Continuous-Time Process Model?

• Preparing Data for System Identification

Loading Data into the MATLAB Workspace

Opening the System Identification Tool

Importing Data Objects into the System Identification Tool

Plotting and Processing Data

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

Estimating a Second-Order Transfer Function Using Default Settings

Tips for Specifying Known Parameters

Validating the Model

• Estimating a Process Model with a Noise Component

Estimating a Second-Order Process Model with Complex Poles

Validating the Models

• Viewing Model Parameters

Viewing Model Parameter Values

Viewing Parameter Uncertainties

Exporting the Model to the MATLAB Workspace

• Simulating a System Identification Toolbox Model in Simulink Software

Prerequisites for This Tutorial

Preparing Input Data

Building the Simulink Model

Configuring Blocks and Simulation Parameters

Running the Simulation

• About This Tutorial

Objectives

Data Description

• Preparing Data

Loading Data into the MATLAB Workspace

Plotting the Input/Output Data

Removing Equilibrium Values from the Data

Using Objects to Represent Data for System Identification

Creating iddata Objects

Plotting the Data in a Data Object

Selecting a Subset of the Data

• Estimating Step- and Frequency-Response Models

Why Estimate Step- and Frequency-Response Models?

Estimating the Frequency Response

Estimating the Empirical Step Response

• Estimating Delays in the Multiple-Input System

Why Estimate Delays?

Estimating Delays Using the ARX Model Structure

Estimating Delays Using Alternative Methods

• Estimating Model Orders Using an ARX Model Structure

Why Estimate Model Order?

Commands for Estimating the Model Order

Model Order for the First Input-Output Combination

Model Order for the Second Input-Output Combination

• Estimating Transfer Functions

Specifying the Structure of the Transfer Function

Validating the Process Model

Residual Analysis

• Estimating Process Models

Specifying the Structure of the Process Model

Viewing the Model Structure and Parameter Values

Specifying Initial Guesses for Time Delays

Estimating Model Parameters Using procest

Validating the Process Model

Estimating a Transfer Function with a Noise Model

• Estimating Black-Box Polynomial Models

Model Orders for Estimating Polynomial Models

Estimating a Linear ARX Model

Estimating a State-Space Model

Estimating a Box-Jenkins Model

Comparing Model Output to Measured Output

• Simulating and Predicting Model Output

Simulating the Model Output

Predicting the Future Output

• About This Tutorial

Objectives

Data Description

• What Are Nonlinear Black-Box Models?

Types of Nonlinear Black-Box Models

What Is a Nonlinear ARX Model?

What Is a Hammerstein-Wiener Model?

• Preparing Data

Loading Data into the MATLAB Workspace

Creating iddata Objects

Starting the System Identification Tool

Importing Data Objects into the System Identification Tool

• Estimating Nonlinear ARX Models

Estimating a Nonlinear ARX Model with Default Settings

Plotting Nonlinearity Cross-Sections for Nonlinear ARX Models

Changing the Nonlinear ARX Model Structure

Selecting a Subset of Regressors in the Nonlinear Block

Specifying a Previously-Estimated Model with Different Nonlinearity

Selecting the Best Model

• Estimating Hammerstein-Wiener Models

Estimating Hammerstein-Wiener Models with Default Settings

Plotting the Nonlinearities and Linear Transfer Function

Changing the Hammerstein-Wiener Model Input Delay

Changing the Nonlinearity Estimator in a Hammerstein-Wiener Model

Selecting the Best Model

• User's Guide

• Blocks

• Functions

Examples

• Release Notes

Summary by Version

Version 8.0 (R2012a) System Identification Toolbox Software

Version 7.4.3 (R2011b) System Identification Toolbox Software

Version 7.4.2 (R2011a) System Identification Toolbox Software

Version 7.4.1 (R2010b) System Identification Toolbox Software

Version 7.4 (R2010a) System Identification Toolbox Software

Version 7.3.1 (R2009b) System Identification Toolbox Software

Version 7.3 (R2009a) System Identification Toolbox Software

Version 7.2.1 (R2008b) System Identification Toolbox Software

Version 7.2 (R2008a) System Identification Toolbox Software

Version 7.1 (R2007b) System Identification Toolbox Software

Version 7.0 (R2007a) System Identification Toolbox Software

Version 6.2 (R2006b) System Identification Toolbox Software

Version 6.1.3 (R2006a) System Identification Toolbox Software

Version 6.1.2 (R14SP3) System Identification Toolbox Software

Version 6.1.1 (R14SP2) System Identification Toolbox Software

Version 6.0 (R13SP2) System Identification Toolbox Software

Compatibility Summary for System Identification Toolbox Software

Blocks — Alphabetical List

By Category

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

AR Estimator
ARMAX Estimator
ARX Estimator
BJ Estimator
IDDATA Sink
IDDATA Source
IDMODEL Model
IDNLARX Model
IDNLGREY Model
IDNLHW Model
OE Estimator
PEM Estimator

Block Reference

Free Control Systems Interactive Kit

Learn more about resources for designing, testing, and implementing control systems.

Get free kit

Trials Available

Try the latest control systems products.

Get trial software