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Nonlinear Model Creation and Validation

Finally, a nonlinear model wiU be fit to the data to see if any improvement can be obtained. Using MATLAB, the wavenet basis function will be used. This implies that the model will be given as [Pg.318]

A wavelet model for the data consisted of the following regressors i, y/ 2 y, 3, and yt 4, plus for each of the inputs the terms between rtk+X and 11 + 5. The total time delay was assumed to be one for the process between the i and hi and two between the and hi. Note that the time delay used here must include the one-sample time delay introduced by sampling a system, that is, the total time delay equals The estimated model parameters will not be included here as they are [Pg.319]

6 Modelling Dynamic Processes Using System Identification Methods [Pg.320]


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