• DocumentCode
    425005
  • Title

    Recursive identification of systems with hard input nonlinearities of known structure

  • Author

    Giri, F. ; Rochdi, Y. ; Chaoui, F.Z.

  • Author_Institution
    ISMRA, Caen, France
  • Volume
    5
  • fYear
    2004
  • fDate
    June 30 2004-July 2 2004
  • Firstpage
    4764
  • Abstract
    We are considering nonlinear system identification using Hammerstein model, where the linear and nonlinear elements are both of known structure. The static gain may be discontinuous and is not linear in the (unknown) parameters. The focus is made on the case of a two-segment piecewise-linear gain with a preload and/or a dead zone. A recursive identification scheme is designed to determine the models of both the plant dynamics and the static gain. It involves a gradient algorithm, a singular value decomposition and an ad-hoc input sequence that ensures persistent excitation.
  • Keywords
    control nonlinearities; gradient methods; identification; nonlinear control systems; piecewise linear techniques; singular value decomposition; Hammerstein model; ad-hoc input sequence; gradient algorithm; nonlinear system identification; singular value decomposition; systems recursive identification; two-segment piecewise-linear gain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2004. Proceedings of the 2004
  • Conference_Location
    Boston, MA, USA
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-8335-4
  • Type

    conf

  • Filename
    1384066