System Identification Toolbox™

Next Steps After Estimating Nonlinear Black-Box Models

After estimating nonlinear black-box models, you can perform the following operations:

• View parameter values, standard deviations of the parameters, loss function, and Akaike's Final Prediction Error (FPE) Criterion at the command line using the present command or by get the EstimationInfo property of the model.

• Simulate the model using the sim command.

• Predict the model output using the predict command.

• Compute linear approximation of nonlinear ARX and Hammerstein-Wiener models using linearize or linapp. linearize provides a first-order Taylor series approximation of the system about an operation point (also called tangent linearization). linapp computes a linear approximation of a nonlinear model for a given input. For more information about these commands, see the Computing Linear Approximations of Nonlinear Black-Box Models.

• Import identified models into Simulink^® software for simulation. For more information, see Using System Identification Toolbox™ Blocks.

After computing a linear approximation of a nonlinear model, you can perform linear analysis and control design on your model using Control System Toolbox™ commands. For more information, see Using Models with Control System Toolbox™ Software.

Extracting Parameter Values from Nonlinear Black-Box Models

Computing Linear Approximations of Nonlinear Black-Box Models