• DocumentCode
    226399
  • Title

    T-S fuzzy models based approximation for general fractional order nonlinear dynamic systems

  • Author

    Yong Wang ; Yiheng Wei ; Min Zhu ; Mengmeng Liu ; Cheng Peng ; Zeshao Chen

  • Author_Institution
    Dept. of Autom., Univ. of Sci. & Technol. of China, Hefei, China
  • fYear
    2014
  • fDate
    6-11 July 2014
  • Firstpage
    1666
  • Lastpage
    1670
  • Abstract
    In this paper, a novel approach is presented to approximate the general fractional order nonlinear dynamic systems. Firstly, a generalized T-S fuzzy method is used to approximate the original models. Then a new method to approximate the fractional order T-S models is utilized, and obtain a series of integer order linear model. It is revealed for the first time that a general fractional order nonlinear system (FONS) can be approximated by a series of integer order linear models to any degree of accuracy on any compact set. Finally, numerical simulation results are provided to illustrate the effectiveness of the proposed approach.
  • Keywords
    approximation theory; fuzzy control; fuzzy systems; linear systems; nonlinear control systems; nonlinear dynamical systems; FONS; fractional order T-S model approximation; general fractional order nonlinear dynamic systems; generalized T-S fuzzy model-based approximation; integer order linear model; numerical simulation; Automation; Computational modeling; Conferences; Control systems; Linear approximation; Nonlinear systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-2073-0
  • Type

    conf

  • DOI
    10.1109/FUZZ-IEEE.2014.6891524
  • Filename
    6891524