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Linear-wavelet models for non-linear identification applied to a pressure plant

Becerra, V. M., Galvão, R. K. H., Calado, J. M. F. and Silva, P. M. (2002) Linear-wavelet models for non-linear identification applied to a pressure plant. In: International Joint Conference on Neural Networks: IJCNN 2002, 12-17 May 2002, Honolulu, HI, USA, pp. 2180-2185.

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To link to this article DOI: 10.1109/IJCNN.2002.1007479

Abstract/Summary

A nonlinear regression structure comprising a wavelet network and a linear term is proposed for system identification. The theoretical foundation of the approach is laid by proving that radial wavelets are orthogonal to linear functions. A constructive procedure for building such models is described and the approach is tested with experimental data.

Item Type:Conference or Workshop Item (Paper)
Refereed:Yes
Divisions:Faculty of Science > School of Systems Engineering
ID Code:19198
Uncontrolled Keywords:linear-wavelet models, nonlinear identification, nonlinear regression structure, pressure plant, radial wavelets, system identification, wavelet network

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