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

V. M. Becerra, R. K. H. Galvão, J. M. F. Calado, P. M. Silva

    Research output: Chapter in Book/Report/Conference proceedingConference contribution


    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.
    Original languageEnglish
    Title of host publicationInternational Joint Conference on Neural Networks: IJCNN 2002
    Number of pages6
    Publication statusPublished - 1 May 2002


    • linear-wavelet models, nonlinear identification, nonlinear regression structure, pressure plant, radial wavelets, system identification, wavelet network


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