• DocumentCode
    1292242
  • Title

    Identification of Hammerstein models using genetic algorithms

  • Author

    Li, H.-X.

  • Author_Institution
    Dept. of Electr. Eng., Xinjiang Inst. of Technol., China
  • Volume
    146
  • Issue
    6
  • fYear
    1999
  • fDate
    11/1/1999 12:00:00 AM
  • Firstpage
    499
  • Lastpage
    504
  • Abstract
    The application of genetic algorithms to the identification of the Hammerstein model is studied. The method uses piecewise linear, and not a polynomial, to approximate the memoryless nonlinear characterisation. Numerical simulation results provided show the efficiency of the method
  • Keywords
    genetic algorithms; identification; memoryless systems; nonlinear dynamical systems; Hammerstein model; genetic algorithms; identification; memoryless systems; nonlinear dynamical systems; piecewise linear;
  • fLanguage
    English
  • Journal_Title
    Control Theory and Applications, IEE Proceedings -
  • Publisher
    iet
  • ISSN
    1350-2379
  • Type

    jour

  • DOI
    10.1049/ip-cta:19990437
  • Filename
    818075
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1292242