• DocumentCode
    630592
  • Title

    State and parameter estimation for nonlinear systems: A Takagi-Sugeno approach

  • Author

    Bezzaoucha, Souad ; Marx, Benoit ; Maquin, Didier ; Ragot, Jose

  • Author_Institution
    CRAN, Univ. de Lorraine, Vandoeuvre-lès-Nancy, France
  • fYear
    2013
  • fDate
    17-19 June 2013
  • Firstpage
    1050
  • Lastpage
    1055
  • Abstract
    The main contribution of this paper is to propose a systematic approach to observer design for Takagi-Sugeno (T-S) time-varying systems. The proposed procedure is based on the sector nonlinearity approach using the convex polytopic transformation. The exact writing of the time-varying nonlinear system as a T-S model allows to provide a state and parameter estimation.
  • Keywords
    convex programming; fuzzy control; nonlinear systems; observers; parameter estimation; time-varying systems; Takagi-Sugeno time-varying system; convex polytopic transformation; observer design; parameter estimation; sector nonlinearity approach; state estimation; time-varying nonlinear system; Bismuth; Equations; Mathematical model; Nonlinear systems; Observers; Parameter estimation; Time-varying systems; Takagi-Sugeno models; Time-varying nonlinear systems; convex polytopic transformation; linear matrix inequality; sector nonlinearity approach; state and parameter observer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2013
  • Conference_Location
    Washington, DC
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4799-0177-7
  • Type

    conf

  • DOI
    10.1109/ACC.2013.6579975
  • Filename
    6579975
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=630592