• DocumentCode
    2550474
  • Title

    Non-monotonic fuzzy state feedback controller design for discrete Time T-S fuzzy systems

  • Author

    Derakhshan, Siavash Fakhimi ; Fatehi, Alireza ; Sharabiany, Mehrad Ghasem

  • Author_Institution
    Adv. Process Autom. & Control (APAC) Res. Group, K.N. Toosi Univ. of Technol., Tehran, Iran
  • fYear
    2012
  • fDate
    29-31 May 2012
  • Firstpage
    102
  • Lastpage
    107
  • Abstract
    In this paper a new approach is proposed to design state feedback controllers for well known T-S fuzzy systems. The used controller structure is in familiar parallel distributed compensation (PDC) format and the Lyapunov candidate is the frequently used common quadratic one. The only difference is the stability theorem used which is a revised version of Lyapunov stability theorem that relaxes monotonic condition. It is shown that the proposed method is less conservative than common quadratic method and piecewise method.
  • Keywords
    Lyapunov methods; compensation; control system synthesis; discrete time systems; fuzzy control; fuzzy systems; stability; state feedback; Lyapunov candidate; Lyapunov stability theorem; PDC; controller structure; discrete time T-S fuzzy systems; monotonic condition relaxation; nonmonotonic fuzzy state feedback controller design; parallel distributed compensation format; Asymptotic stability; Fuzzy systems; Linear matrix inequalities; Lyapunov methods; Stability analysis; State feedback; Symmetric matrices; Discrete time Takagi-Sugeno fuzzy dynamic systems; Linear Matrix Inequalities (LMI); Non-monotonic Lyapunov function; Stabilization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on
  • Conference_Location
    Sichuan
  • Print_ISBN
    978-1-4673-0025-4
  • Type

    conf

  • DOI
    10.1109/FSKD.2012.6234216
  • Filename
    6234216