• DocumentCode
    1666346
  • Title

    Stability analysis for T-S fuzzy control systems with linear interpolations into membership functions

  • Author

    Peng Wang ; Ning Li ; Shaoyuan Li

  • Author_Institution
    Dept. of Autom., Shanghai Jiao Tong Univ., Shanghai, China
  • fYear
    2012
  • Firstpage
    1749
  • Lastpage
    1754
  • Abstract
    This paper focuses on the stability analysis of T-S fuzzy control systems. The artificial T-S model method is utilized with piecewise linear interpolations into the normalized fuzzy membership functions. The stability conditions are derived to a series of LMIs. Using piecewise linear interpolation functions, we obtain finite LMIs and only solve them at the interpolation points. Furthermore, because of the dramatically improved approximation accuracy of piecewise linear interpolations, the method presented in this paper can provide a wider stable region for T-S fuzzy control systems, compared with the approach with staircase (zero-order) interpolations. A simulation example is adopted to illustrate the advantage of the proposed method.
  • Keywords
    fuzzy control; interpolation; linear matrix inequalities; piecewise linear techniques; stability; T-S fuzzy control system; approximation accuracy; artificial T-S model method; finite LMI; interpolation point; normalized fuzzy membership function; piecewise linear interpolation function; stability analysis; stability condition; stable region; staircase interpolation; zero-order interpolation; Analytical models; Asymptotic stability; Fuzzy control; Interpolation; Stability analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Automation Robotics & Vision (ICARCV), 2012 12th International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-4673-1871-6
  • Electronic_ISBN
    978-1-4673-1870-9
  • Type

    conf

  • DOI
    10.1109/ICARCV.2012.6485414
  • Filename
    6485414