Identifying linear black-box models from single-input/single-output (SISO) data using the System Identification app.
Identifying linear models from multiple-input/single-output (MISO) data using System Identification Toolbox™ commands.
Identifying continuous-time transfer functions from single-input/single-output (SISO) data using the System Identification app.
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.
Identifying nonlinear black-box models from single-input/single-output (SISO) data using the System Identification app.
Criteria for deciding which models to estimate for your system.
Summary of typical tasks in the system identification workflow.
System Identification Toolbox software supports estimation of linear models from both time- and frequency-domain data. For nonlinear models, this toolbox supports only time-domain data. For more information, see Supported Models for Time- and Frequency-Domain Data.
Types of continuous-time and discrete-time models you can estimate from time- and frequency-domain data.
Overview of frequency-domain identification in the toolbox.
When to use the app versus the System Identification Toolbox commands.
Working with System Identification App.
Summary of commands for constructing models.
Estimate states and parameters of a system in real-time.