DocumentCode :
2522182
Title :
Identification by Chebyshev polynomials for discrete noisy nonlinear systems
Author :
Shingu, Tadatoslii ; Takata, Hitoshi
Author_Institution :
Kagoshima Univ., Japan
fYear :
1998
fDate :
29-31 Jul 1998
Firstpage :
1081
Lastpage :
1086
Abstract :
We propose an identification method of discrete noisy nonlinear systems using Chebyshev polynomials. The nonlinear function is represented by the linear combination of some Chebyshev polynomials. Each coefficient of the Chebyshev polynomials is easily evaluated by the least squares method. An error bound of the identification is also estimated. Also the optimal order of the Chebyshev polynomials is determined by using Akaike´s information criterion. Numerical examples demonstrate that the accuracy of this identification for nonlinear systems is considerably improved
Keywords :
discrete systems; identification; information theory; least squares approximations; nonlinear systems; polynomials; Akaike´s information criterion; Chebyshev polynomials; discrete noisy nonlinear systems; error bound; least squares method; nonlinear function; optimal order; Artificial neural networks; Chebyshev approximation; Cities and towns; Ear; Interpolation; Least squares methods; Noise measurement; Nonlinear systems; Polynomials; Radial basis function networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SICE '98. Proceedings of the 37th SICE Annual Conference. International Session Papers
Conference_Location :
Chiba
Type :
conf
DOI :
10.1109/SICE.1998.742982
Filename :
742982
Link To Document :
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