• DocumentCode
    67101
  • Title

    On the Stability and Control of Continuous-Time TSK Fuzzy Systems

  • Author

    Jafarzadeh, Saeed ; Fadali, Mohammed Sami

  • Author_Institution
    Dept. of Comput. & Electr. Eng. & Comput. Sci., California State Univ. Bakersfield, Bakersfield, CA, USA
  • Volume
    43
  • Issue
    3
  • fYear
    2013
  • fDate
    Jun-13
  • Firstpage
    1073
  • Lastpage
    1087
  • Abstract
    This paper introduces a new stability test and control design methodology for type-1 and type-2 continuous-time (CT) Takagi-Sugeno-Kang systems. Unlike methods based on a common Lyapunov function, our stability results apply for systems with unstable consequents, and our controllers can be designed for systems with unstabilizable consequents. The stability results are derived using the comparison principle with a discontinuous function and the upper right-hand derivative. The control results include CT fuzzy proportional controllers and fuzzy proportional-integral controllers that can be obtained by solving linear matrix inequalities. We provide several examples to demonstrate our stability testing and controller design and compare our results to available methods in the literature. Our results compare favorably with results available in the literature and provide stability tests and controllers where earlier approaches fail.
  • Keywords
    Lyapunov methods; continuous time systems; control system synthesis; fuzzy control; linear matrix inequalities; stability; Lyapunov function; Takagi-Sugeno-Kang system; comparison principle; continuous-time TSK fuzzy system; control design methodology; discontinuous function; linear matrix inequalities; stability test; stability testing; type-1 continuous-time system; type-2 continuous-time system; upper right-hand derivative; Control design; Fuzzy systems; Indexes; Lyapunov methods; Stability criteria; Vectors; Comparison principle; Takagi–Sugeno–Kang (TSK) systems; fuzzy control; stability; type-2 fuzzy systems; Algorithms; Artificial Intelligence; Feedback; Fuzzy Logic; Models, Statistical; Pattern Recognition, Automated;
  • fLanguage
    English
  • Journal_Title
    Cybernetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    2168-2267
  • Type

    jour

  • DOI
    10.1109/TSMCB.2012.2223672
  • Filename
    6353256