Abstract: In the present work, a linear Orthonormal Basis Filters (OBF) model is integrated with nonlinear Wavelet Network (WN) model in parallel structure for nonlinear systems identification. The overall nonlinear model is taken as the sum of these two models and analyzed using two case studies. The effectiveness and the model performance within the model development region as well as under extrapolating conditions are studied. The results showed that the proposed parallel OBF-WN performed better than other conventional models in both regions of operations.
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WSEAS Transactions on Systems and Control, ISSN / E-ISSN: 1991-8763 / 2224-2856, Volume 9, 2014, Art. #30
H. Zabiri, M. S. Fadzil, Y. C. Bong, L. D. Tufa, M. Ramasamy, "Parallel OBF-Wavelet Network Model for Nonlinear Systems Identification," WSEAS Transactions on Systems and Control, vol. 9, pp. 285-290, 2014, DOI:
H. Zabiri, M. S. Fadzil, Y. C. Bong, L. D. Tufa, M. Ramasamy. Parallel OBF-Wavelet Network Model for Nonlinear Systems Identification.
WSEAS Transactions on Systems and Control. 2014;9:285-290.