• DocumentCode
    1623429
  • Title

    STFC-self-tuning fuzzy controller

  • Author

    Zheng, Jin ; Guo, Ping ; Wang, Jack D.

  • Author_Institution
    Intelligent Machine Inc., Sunnyvale, CA, USA
  • fYear
    1992
  • Firstpage
    1603
  • Abstract
    A new type of self-tuning fuzzy controller (STFC) is presented which can emulate not only the control experience of a human expert, but also the strategies or thinking of the expert to be utilized in developing the fuzzy controller. The remarkable feature of the STFC is its dynamic knowledge base, which is constructed with a multilayer rule architecture. In this architecture, upper layer rules, called tuning rules, are used to adjust lower layer rules, called control rules, and the shape of membership functions. A floating object experiment is described to show the control performance compared with general fuzzy control without self-tuning function
  • Keywords
    adaptive control; fuzzy control; fuzzy logic; intelligent control; knowledge based systems; self-adjusting systems; control experience; control rules; dynamic knowledge base; human expert; membership functions; multilayer rule architecture; self-tuning fuzzy controller; tuning rules; Artificial intelligence; Automatic control; Control systems; Electrical equipment industry; Fuzzy control; Fuzzy logic; Humans; Process control; Shape control; Systems engineering and theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 1992., IEEE International Conference on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    0-7803-0720-8
  • Type

    conf

  • DOI
    10.1109/ICSMC.1992.271509
  • Filename
    271509