• DocumentCode
    2266994
  • Title

    Polar coordinate fuzzy model and stability analysis

  • Author

    Ohtake, Hiroshi ; Tanaka, Kazuo ; Wang, Hua O.

  • Author_Institution
    Dept. of Mech. Eng. & Intelligent Syst., Univ. of Electro-Commun., Chofu, Japan
  • Volume
    3
  • fYear
    2003
  • fDate
    4-6 June 2003
  • Firstpage
    1914
  • Abstract
    This paper presents a polar coordinate fuzzy model and its stability condition. The new polar coordinate fuzzy model can exactly represent a class of nonlinear systems globally or semi-globally. The polar coordinate fuzzy model has local linear parameter varying models which are linear with respect to distance r in the polar coordinate. The varying parameters consist of sum and/or products of sin and/or cos with respect to angles θ1, θ2, ..., θn-1 in the polar coordinate. The distance and angles can be calculated from state variables. Furthermore, we derive a stability condition for a polar coordinate fuzzy model. An example illustrates the utility of this approach.
  • Keywords
    Lyapunov methods; control system analysis; fuzzy control; fuzzy set theory; nonlinear systems; stability; Lyapunov function; angles calculation; distance calculation; linear parameter varying models; nonlinear systems; polar coordinate fuzzy model; stability analysis; stability condition; state variables; Aerospace engineering; Fuzzy control; Fuzzy systems; Intelligent systems; Mechanical engineering; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems; Stability analysis; Takagi-Sugeno model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2003. Proceedings of the 2003
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-7896-2
  • Type

    conf

  • DOI
    10.1109/ACC.2003.1243353
  • Filename
    1243353