• DocumentCode
    85919
  • Title

    TSK Observers for Discrete Type-1 and Type-2 Fuzzy Systems

  • Author

    Fadali, Mohammed Sami ; Jafarzadeh, Saeed

  • Author_Institution
    Dept. of Electr. & Biomed. Eng., Univ. of Nevada Reno, Reno, NV, USA
  • Volume
    22
  • Issue
    2
  • fYear
    2014
  • fDate
    Apr-14
  • Firstpage
    451
  • Lastpage
    458
  • Abstract
    This paper proposes a new observer design methodology for type-1 and type-2 Takagi-Sugeno-Kang fuzzy systems. The design methodology does not require a common Lyapunov function and is, therefore, applicable to systems with nondetectable consequents. Our observers include fuzzy observers as well as constant gain observers. The observers are exponentially stable, and the designer can specify the rate of exponential convergence. The observer designs can be tested using linear matrix inequalities. The observers can be combined with a fuzzy controller for observer state feedback. The observer design methodology is demonstrated using the TORA system, and the observer state feedback is applied to the control of the inverted pendulum. The results show that the observer design provides good estimates of the state and can be used in a control system design even if the system has nondetectable consequents. Comparison to results from the literature shows that the new design can provide stable observer state feedback, where other observer designs fail.
  • Keywords
    asymptotic stability; control system synthesis; convergence; discrete systems; fuzzy control; fuzzy systems; linear matrix inequalities; nonlinear control systems; observers; pendulums; state feedback; TORA system; TSK observer design methodology; Takagi-Sugeno-Kang fuzzy system; constant gain observer; control system design; discrete type-1 fuzzy system; discrete type-2 fuzzy system; exponential convergence rate; exponential stability; fuzzy controller; fuzzy observer; inverted pendulum control; linear matrix inequalities; observer state feedback; state estimation; Convergence; Design methodology; Fuzzy systems; Observers; Stability analysis; State feedback; Vectors; State observer; Takagi–Sugeno–Kang (TSK) systems; type-2 fuzzy systems;
  • fLanguage
    English
  • Journal_Title
    Fuzzy Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6706
  • Type

    jour

  • DOI
    10.1109/TFUZZ.2013.2251886
  • Filename
    6476663