Nonlinear System Identification Using Orthogonal Wavelet Networks
WANG Haiqing
Song Zhihuan
LI Ping
Abstract：Based on the idea of multiresolution hierarchical approximation of wavelet, the identification of nonlinear system with sampled data dispersed irregularly in space is discussed by using orthogonal wavelet networks (OWN). The design criteria of the lattice structure are intensively discussed and jusified, and an on-line hierarchical identification algorithm is given. The OWN is used to identify nonlinear static and dynamic systems. Simulation results indicate that the proposed algorithm has superior performance than conventional methods.
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Publication Date：2001-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 200-204 )