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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
Working with 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.
