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