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Getting Started with System Identification Toolbox

Tutorials

Identify Linear Models Using System Identification App

Identifying linear black-box models from single-input/single-output (SISO) data using the System Identification app.

Identify Linear Models Using the Command Line

Identifying linear models from multiple-input/single-output (MISO) data using System Identification Toolbox™ commands.

Identify Low-Order Transfer Functions (Process Models) Using System Identification App

Identifying continuous-time transfer functions from single-input/single-output (SISO) data using the System Identification app.

Estimate Continuous-Time Grey-Box Model for Heat Diffusion

This example shows how to estimate the heat conductivity and the heat-transfer coefficient of a continuous-time grey-box model for a heated-rod system.

Identify Nonlinear Black-Box Models Using System Identification App

Identifying nonlinear black-box models from single-input/single-output (SISO) data using the System Identification app.

About System Identification

System Identification Overview

Criteria for deciding which models to estimate for your system.

System Identification Workflow

Summary of typical tasks in the system identification workflow.

Supported Data

System Identification Toolbox software supports estimation of linear models from both time- and frequency-domain data.

Supported Continuous- and Discrete-Time Models

Types of continuous-time and discrete-time models you can estimate from time- and frequency-domain data.

Estimating Models Using Frequency-Domain Data

Overview of frequency-domain identification in the toolbox.

When to Use the App vs. the Command Line

When to use the app versus the System Identification Toolbox commands.

Working with System Identification App

A session represents the total progress of your identification process, including any data sets and models in the System Identification app.

Commands for Model Estimation

Summary of commands for constructing models.

What Is Online Estimation?

Estimate states and parameters of a system in real-time.

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