• DocumentCode
    641005
  • Title

    A SOS based alternative to LMI approaches for non-quadratic stabilization of continuous-time Takagi-Sugeno fuzzy systems

  • Author

    Chinh-Cuong Duong ; Guelton, Kevin ; Manamanni, N.

  • Author_Institution
    CReSTIC, Univ. de Reims Champagne-Ardenne, Reims, France
  • fYear
    2013
  • fDate
    7-10 July 2013
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Nowadays, when dealing with non-quadratic controllers design for continuous-time Takagi-Sugeno (TS) models, LMIs-based successive conditions become more and more complex for a conservatism reduction that is sometime questionable. Therefore, in this paper it is assumed that it should be interesting to explore what can be done, else than LMIs, in the non-quadratic framework. Indeed, in most of the cases, non-quadratic LMIs suffer from the requirement of unknown parameters or lead to local stability analysis. Hence, the aim of this paper is to show, at a first attempt, that the Sum-Of-Squares formalism is suitable to design non-PDC controllers which stabilizing TS models on their whole definition set. However, it is pointed-out that the SOS formalism requires a restrictive modeling assumption, understood as a drawback but opening some possible further prospects.
  • Keywords
    continuous time systems; control system synthesis; fuzzy systems; linear matrix inequalities; stability; LMI; SOS formalism; continuous-time Takagi-Sugeno fuzzy systems; linear matrix inequality; local stability analysis; nonPDC controllers; nonquadratic controller design; nonquadratic stabilization; stabilizing TS models; sum-of-squares formalism; Analytical models; Bismuth; Fuzzy systems; Lyapunov methods; Polynomials; Stability analysis; Vectors; Non-PDC controller design; Non-quadratic stabilization; Sum-Of-Squares; Takagi-Sugeno fuzzy models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems (FUZZ), 2013 IEEE International Conference on
  • Conference_Location
    Hyderabad
  • ISSN
    1098-7584
  • Print_ISBN
    978-1-4799-0020-6
  • Type

    conf

  • DOI
    10.1109/FUZZ-IEEE.2013.6622484
  • Filename
    6622484