• DocumentCode
    697316
  • Title

    Estimating volterra kernels expanded on orthonormal bases

  • Author

    Hassouna, S. ; Ouvrard, R. ; Coirault, P. ; Bibes, G.

  • Author_Institution
    Lab. d´Autom. et d´Inf. Ind., ESIP, Poitiers, France
  • fYear
    2001
  • fDate
    4-7 Sept. 2001
  • Firstpage
    1846
  • Lastpage
    1851
  • Abstract
    The aim of this paper is the identification of a continuous nonlinear system. The model is a finite Volterra series expansion. The Volterra kernels are expanded on generalized orthonormal function bases, and the expansion parameters are estimated by a modified least-squares algorithm.
  • Keywords
    Volterra equations; continuous time systems; least squares approximations; nonlinear control systems; parameter estimation; Volterra kernel estimation; continuous nonlinear system identification; expansion parameter estimation; finite Volterra series expansion; generalized orthonormal function bases; modified least-squares algorithm; orthonormal bases; Covariance matrices; Europe; Kernel; Mathematical model; Numerical models; Solid modeling; White noise; Identification methods; Identification of non-linear systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ECC), 2001 European
  • Conference_Location
    Porto
  • Print_ISBN
    978-3-9524173-6-2
  • Type

    conf

  • Filename
    7076190
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=697316