• DocumentCode
    2275109
  • Title

    Design of stable recurrent fuzzy-logic-controllers

  • Author

    Hu, Yiwae ; Ramamoorthy, P. A Puma

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Cincinnati Univ., OH, USA
  • fYear
    1994
  • fDate
    26-29 Jun 1994
  • Firstpage
    918
  • Abstract
    Controllers based on fuzzy logic belong to the class of static or memoryless nonlinear controllers and provide better control than is possible using linear control. The major strength of fuzzy controllers lies in the way a nonlinear output mapping of a number of inputs can be specified easily using fuzzy linguistic variables and fuzzy rules. When we use fuzzy logic in feedback control, we in effect have a nonlinear system with feedback and the resulting system could potentially become unstable. In this work, we show how we can design feedback systems (with fuzzy control) that are guaranteed to be stable. This approach can also be used to design stand-alone feedback fuzzy systems (or recurrent fuzzy systems) that are guaranteed to be stable
  • Keywords
    control system synthesis; feedback; fuzzy control; fuzzy logic; nonlinear control systems; stability; feedback control; fuzzy linguistic variables; fuzzy rules; memoryless nonlinear controllers; nonlinear output mapping; stability; stable recurrent fuzzy logic controllers; Control systems; Feedback; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Hybrid intelligent systems; Nonlinear control systems; Nonlinear systems; Stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-7803-1896-X
  • Type

    conf

  • DOI
    10.1109/FUZZY.1994.343857
  • Filename
    343857