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| R2011b Documentation → System Identification Toolbox | |
Learn more about System Identification Toolbox |
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| Contents | Index |
The quickest way to both construct a model object and estimate the model parameters is to use estimation commands.
Note For ODEs (grey-box models), you must first construct the model structure and then apply an estimation command to the resulting model object. |
For ARMAX, Box-Jenkins, and Output-Error Models—which you can only estimate using the iterative prediction-error method—use the armax, bj, and oe estimation commands, respectively. For more information about choosing the models to estimate first, see Recommended Model Estimation Sequence.
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 |
|---|---|
| Continuous-time low-order transfer functions (process models) | pem |
Linear input-output polynomial models | armax (ARMAX only) arx (ARX only) bj (BJ only) iv4 (ARX only) oe (OE only) pem (for all models) |
| State-space models | n4sid pem |
| Linear time-series models | ar arx (for multiple outputs) ivar |
| Nonlinear ARX models | nlarx |
| Hammerstein-Wiener models | nlhw |
 | Supported Continuous- and Discrete-Time Models | Creating Model Structures at the Command Line |  |
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