MATLAB MODEL PREDICTIVE CONTROL TOOLBOX - S Dokumentacja Pobierz pdf (Strona 44)

2 Building Models

2-32

dry_data_detrended = detrend(dry_data);

Estimate a linear plant model.

You can use System Identification Toolbox software to estimate a linear plant model in

one of the following forms:

• State-space model

• Transfer function model

• Polynomial model

• Process model

• Grey-box model

For this example, estimate a third-order, linear state-space plant model using the

detrended data.

plant = ssest(dry_data_detrended,3);

To view the estimated parameters and estimation details, at the MATLAB command

prompt, type plant.

See Also

detrend | iddata | ssest

Related Examples

• “Identify Linear Models Using System Identification App”

• “Design Controller for Identified Plant” on page 2-33

• “Design Controller Using Identified Model with Noise Channel” on page 2-35

More About

• “Handling Offsets and Trends in Data”

• “Working with Impulse-Response Models” on page 2-37

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MATLAB MODEL PREDICTIVE CONTROL TOOLBOX - S Dokumentacja Strona 44