Learn more about System Identification Toolbox

Next Steps After Getting an Accurate Model

For linear parametric models (idmodel objects), you can perform the following operations:

• Transform between continuous-time and discrete-time representation.

  See Transforming Between Discrete-Time and Continuous-Time Representations.

• Transform between linear model representations, such as between polynomial, state-space, and zero-pole representations.

  See Transforming Between Linear Model Representations.

• Extract numerical data from transfer functions, pole-zero models, and state-space matrices.

  See Extracting Parameter Values from Linear Models.

For nonlinear black-box models (idnlarx and idnlhwobjects), you can compute a linear approximation of the nonlinear model. See Linear Approximation of Nonlinear Black-Box Models.

System Identification Toolbox models in the MATLAB workspace are immediately available to other MathWorks™ products. However, if you used the System Identification Tool GUI to estimate models, you must first export the models to the MATLAB workspace.

Tip   To export a model from the GUI, drag the model icon to the To Workspace rectangle. For more information about working with the GUI, see Using the System Identification Tool GUI.

If you have the Control System Toolbox software installed, you can import your linear plant model for control-system design. For more information, see Using Models with Control System Toolbox Software.

Finally, if you have Simulink software installed, you can exchange data between the System Identification Toolbox software and the Simulink environment. For more information, see Using System Identification Toolbox Blocks.

Troubleshooting Models

Using Identified Models in Control Design

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