• 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