• DocumentCode
    2139569
  • Title

    An empirical study of robustness of fuzzy systems

  • Author

    Nguyen, Hung T. ; Tao, Chin-Wang ; Thompson, Wiley E.

  • Author_Institution
    Dept. of Syst. Sci., Tokyo Inst. of Technol., Yokohama, Japan
  • fYear
    1993
  • fDate
    1993
  • Firstpage
    1340
  • Abstract
    The authors present intensive empirical studies in fuzzy control systems to investigate, mainly, their robustness properties. The specific problem considered is the speed control of a rotating motor. The desired performance goal of the system is to make the motor speed follow the reference speed with a short rise time and with no overshoot. A fuzzy control system using a controller based on fuzzy if-then rules is proposed. The concept of robustness is formulated theoretically and intensive simulations are used to check its validity. Within this empirical study, the theoretical concept of the approximation capability of fuzzy controllers is also discussed
  • Keywords
    fuzzy control; fuzzy logic; stability; velocity control; fuzzy control systems; fuzzy if-then rules; fuzzy logic; robustness; rotating motor; speed control; stability; Application software; Artificial neural networks; Control systems; Fuzzy control; Fuzzy logic; Fuzzy systems; Neural networks; Robust control; Robustness; Stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 1993., Second IEEE International Conference on
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    0-7803-0614-7
  • Type

    conf

  • DOI
    10.1109/FUZZY.1993.327587
  • Filename
    327587