• DocumentCode
    857837
  • Title

    Discrete Takagi–Sugeno´s Fuzzy Models: Reduction of the Number of LMI in Fuzzy Control Techniques

  • Author

    Delmotte, Francois ; Guerra, Thierry Marie ; Kruszewski, Alexandre

  • Author_Institution
    Centre Nat. de la Rech. Sci., Univ. de Valenciennes et du Hainaut-Cambresis, Valenciennes
  • Volume
    38
  • Issue
    5
  • fYear
    2008
  • Firstpage
    1423
  • Lastpage
    1427
  • Abstract
    Conditions about the stabilization of Takagi-Sugeno fuzzy models can systematically be derived and solved usually using linear matrix inequality problems. Current research tries to lower any pessimism. However, often it leads to an important increase in the number of decision variables, and problems become unsolvable. In this correspondence, we choose to reduce the number of decision variables while not raising the conservatism in comparison with previous results. This correspondence deals with the discrete case, which is harder to solve. We supply results about the stabilization, the regulator problem, and also Hinfin control.
  • Keywords
    Hinfin control; fuzzy control; linear matrix inequalities; stability; Hinfin control; LMI; discrete Takagi-Sugeno fuzzy models; fuzzy control techniques; linear matrix inequality problems; stabilization; Fuzzy control; Fuzzy systems; Linear matrix inequalities; Nonlinear systems; Polynomials; Regulators; Robust control; Stability; State feedback; Vectors; Fuzzy models; Lyapunov approach; linear matrix inequalities (LMIs); nonlinear control; robust control; Algorithms; Computer Simulation; Feedback; Fuzzy Logic; Linear Models; Models, Theoretical; Nonlinear Dynamics;
  • fLanguage
    English
  • Journal_Title
    Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1083-4419
  • Type

    jour

  • DOI
    10.1109/TSMCB.2008.927263
  • Filename
    4623198