• DocumentCode
    1648222
  • Title

    Identification for Hammerstein Systems Using Extended Least Squares Algorithm

  • Author

    Wenxiao, Zhao

  • Author_Institution
    Acad. of Math. & Syst. Sci., Beijing
  • fYear
    2007
  • Firstpage
    241
  • Lastpage
    245
  • Abstract
    The extended least squares (ELS) algorithm is applied to identifying the Hammerstein system, where the nonlinear static function f (.) is expressed as a linear combination of basic functions with unknown coefficients. Strong consistency of the estimates is established and their convergent rates are obtained as well.
  • Keywords
    identification; least squares approximations; nonlinear functions; Hammerstein systems; extended least squares algorithm; identification; nonlinear static function; Algorithm design and analysis; Control systems; Cost function; Instruments; Iterative algorithms; Least squares methods; Linear systems; Mathematics; Parameter estimation; ARMAX; Hammerstein system; extended least squares; strong consistency;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference, 2007. CCC 2007. Chinese
  • Conference_Location
    Hunan
  • Print_ISBN
    978-7-81124-055-9
  • Electronic_ISBN
    978-7-900719-22-5
  • Type

    conf

  • DOI
    10.1109/CHICC.2006.4347212
  • Filename
    4347212
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1648222