论文信息 - LINEAR-WAVELET MODELS FOR SYSTEM IDENTIFICATION

LINEAR-WAVELET MODELS FOR SYSTEM IDENTIFICATION

A model structure comprising a wavelet network and a linear term is proposed for nonlinear system identification. It is shown that under certain conditions wavelets are orthogonal to linear functions and, as a result, the two parts of the model can be identified separately. The linear-wavelet model is compared to a standard wavelet network using data from a simulated fermentation process. The results show that the linear-wavelet model yields a smaller modelling error when compared to a wavelet network using the same number of regressors.

Roberto Kawakami Harrop Galvão | Victor M. Becerra | R. Galvão | V. Becerra

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