Learn more about System Identification Toolbox

About This Tutorial

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Objectives Data Description

Objectives

Estimate and validate linear models from multiple-input/single-output (MISO) data to find the one that best describes the system dynamics.

After completing this tutorial, you will be able to accomplish the following tasks using the command line:

• Create data objects to represent data.

• Plot the data.

• Process data by removing offsets from the input and output signals.

• Estimate and validate linear models from the data.

• Simulate and predict model output.

Note   This tutorial uses time-domain data to demonstrate how you can estimate linear models. The same workflow applies to fitting frequency-domain data.

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Data Description

This tutorial uses the data file co2data.mat, which contains two experiments of two-input and single-output (MISO) time-domain data from a steady-state that the operator perturbed from equilibrium values.

In the first experiment, the operator introduced a pulse wave to both inputs. In the second experiment, the operator introduced a pulse wave to the first input and a step signal to the second input.

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Tutorial – Identifying Linear Models Using the Command Line

Preparing Data

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