• DocumentCode
    855266
  • Title

    Hammerstein model identification based on bacterial foraging

  • Author

    Lin, W. ; Liu, P.X.

  • Author_Institution
    Fac. of Inf. Sci. & Technol., Ningbo Univ.
  • Volume
    42
  • Issue
    23
  • fYear
    2006
  • Firstpage
    1332
  • Lastpage
    1333
  • Abstract
    A new algorithm for Hammerstein model identification based on bacterial foraging is developed. Simulations and comparisons show its advantages over the particle swarm optimisation algorithm in terms of immunity to coloured noise, model accuracy, and the convergence of parameters
  • Keywords
    artificial life; identification; nonlinear systems; optimisation; Hammerstein model identification; bacterial foraging; coloured noise immunity; model accuracy; particle swarm optimisation;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:20062743
  • Filename
    4027812
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=855266