• DocumentCode
    305675
  • Title

    Adaptive fuzzy control

  • Author

    Li, Han-Xiong

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Auckland Univ., New Zealand
  • Volume
    1
  • fYear
    1996
  • fDate
    14-17 Oct 1996
  • Firstpage
    366
  • Abstract
    In this paper, adaptive fuzzy logic control (FLC) will be designed by using a simple reference model. This design approach is based on our new methodology “design rule base qualitatively and data base quantitatively”. If the linear rule base is used, the model of FLC can be obtained. It is actually a nonlinear function with only three scaling gains need to be designed and tuned. The conventional control theory can thus be used. This model reference adaptive fuzzy control (MRAFC) requires less restriction on the reference model, but often achieves a more robust performance than its classical counterpart
  • Keywords
    control system synthesis; fuzzy control; model reference adaptive control systems; robust control; MRAC; MRAFC; linear rule base; model reference adaptive fuzzy control design; nonlinear function; scaling gains; Adaptive control; Control theory; Design engineering; Fuzzy control; Fuzzy logic; Gradient methods; Laboratories; Mathematical model; Programmable control; Two-term control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 1996., IEEE International Conference on
  • Conference_Location
    Beijing
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-3280-6
  • Type

    conf

  • DOI
    10.1109/ICSMC.1996.569797
  • Filename
    569797