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| R2012a Documentation → System Identification Toolbox | |
Learn more about System Identification Toolbox |
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| Contents | Index |
In most cases, a model can be created by using a model estimation command on a dataset. For example, SSEST(DATA, Nx) creates a continuous-time state-space model of order Nx using the input/output of frequency response data DATA.
Note For ODEs (grey-box models), you must first construct the model structure and then apply an estimation command (either greyest or pem) to the resulting model object. |
The following table summarizes System Identification Toolbox estimation commands. For detailed information about using each command, see the corresponding reference page.
Commands for Constructing and Estimating Models
| Model Type | Estimation Commands |
|---|---|
| Transfer function models | tfest |
| Process models | procest |
Linear input-output polynomial models | armax (ARMAX only) arx (ARX only) bj (BJ only) iv4 (ARX only) oe (OE only) polyest (for all models) |
| State-space models | n4sid ssest |
| Time-series models | ar arx (for multiple outputs) ivar nlarx(for nonlinear time-series models) |
| Nonlinear ARX models | nlarx |
| Hammerstein-Wiener models | nlhw |
 | Supported Continuous- and Discrete-Time Models | Creating Model Structures at the Command Line |  |
Learn more about resources for designing, testing, and implementing control systems.
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