• DocumentCode
    434951
  • Title

    Convergence of the iterative Hammerstein system identification algorithm

  • Author

    Bai, Er-Wei ; Li, Duan

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Iowa Univ., Iowa City, IA, USA
  • Volume
    4
  • fYear
    2004
  • fDate
    14-17 Dec. 2004
  • Firstpage
    3868
  • Abstract
    It is shown that the iterative algorithm with normalization is convergent in general. Moreover, the convergence takes place in one step (two least squares iterations) for FIR Hammerstein models with i.i.d. inputs.
  • Keywords
    cascade systems; convergence of numerical methods; identification; iterative methods; least squares approximations; nonlinear control systems; FIR Hammerstein models; convergence; i.i.d. inputs; iterative Hammerstein system identification algorithm; least squares iterations; normalization; Cities and towns; Convergence; Finite impulse response filter; Frequency domain analysis; Iterative algorithms; Iterative methods; Least squares methods; Nonlinear equations; Stochastic processes; System identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2004. CDC. 43rd IEEE Conference on
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-8682-5
  • Type

    conf

  • DOI
    10.1109/CDC.2004.1429341
  • Filename
    1429341
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=434951