• DocumentCode
    574669
  • Title

    Observer design for discrete type-1 and type-2 TSK fuzzy systems

  • Author

    Fadali, Mohammed Sami ; Jafarzadeh, Saeed

  • Author_Institution
    Electr. & Biomed. Eng. Dept., Univ. of Nevada Reno, Reno, NV, USA
  • fYear
    2012
  • fDate
    27-29 June 2012
  • Firstpage
    5616
  • Lastpage
    5621
  • Abstract
    This paper proposes a new observer design methodology for type-1 and type-2 Takagi-Sugeno-Kang (TSK) fuzzy systems. The design methodology does not require a common Lyapunov function and is therefore applicable to systems with non-detectable 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 (LMIs). The design methodology is demonstrated using two examples, the Tora system and the inverted pendulum. The results show that the observer design provides good estimates of the state even if the system has non-detectable consequents.
  • Keywords
    Lyapunov methods; asymptotic stability; discrete systems; fuzzy systems; linear matrix inequalities; nonlinear systems; observers; pendulums; LMI; Lyapunov function; Tora system; constant gain observers; discrete type-1 TSK fuzzy systems; discrete type-2 TSK fuzzy systems; exponential convergence; exponentially stable observers; fuzzy observers; inverted pendulum; linear matrix inequality; nondetectable consequents; observer design methodology; observer designs; state estimation; type-1 Takagi-Sugeno-Kang fuzzy systems; type-2 Takagi-Sugeno-Kang fuzzy systems; Convergence; Design methodology; Fuzzy systems; Lyapunov methods; Observers; Stability analysis; Vectors; State observer; TSK Systems; Type-2 Fuzzy Systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2012
  • Conference_Location
    Montreal, QC
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4577-1095-7
  • Electronic_ISBN
    0743-1619
  • Type

    conf

  • DOI
    10.1109/ACC.2012.6315256
  • Filename
    6315256