• DocumentCode
    1980693
  • Title

    Multimodel analysis and control of multivariable systems

  • Author

    Raissi, T. ; El Kamel, A. ; Byrski, W. ; Borne, P.

  • Author_Institution
    Ecole Centrale de Lille, Villeneuve d´´Ascq, France
  • Volume
    1
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    640
  • Abstract
    The use of the multimodel approach in the modeling, analysis and control of nonlinear complex and/or ill-defined systems was advocated by many researchers. This approach supposes the definition of a set of local models valid in a given region or domain. Different strategies exist in the literature and are generally based on a portioning of the nonlinear system´s full range of operation into multiple smaller operating regimes each of which is associated with a locally valid model or controller. The global control may be a fusion between the partials laws. The purpose of the paper is to pay attention to interesting aspects of the multimodel approach thus revealing some answers to problems not yet resolved for multivariable systems
  • Keywords
    multivariable control systems; nonlinear control systems; transfer function matrices; Karitonov criteria; global control; ill-defined systems; local models; multimodel analysis; multimodel approach; multivariable systems; nonlinear complex systems; validity domain; Automatic control; Control system analysis; Control systems; Frequency; Linearity; MIMO; Nonlinear control systems; Power generation; Power system modeling; Transfer functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 2001 IEEE International Conference on
  • Conference_Location
    Tucson, AZ
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-7087-2
  • Type

    conf

  • DOI
    10.1109/ICSMC.2001.969924
  • Filename
    969924