• DocumentCode
    281244
  • Title

    Fuzzy predict and control method and its application

  • Author

    Yamaguchi, T. ; Endo, T. ; Haruki, K.

  • Author_Institution
    Toshiba Corp., Kawasaki, Japan
  • fYear
    1988
  • fDate
    13-15 Apr 1988
  • Firstpage
    287
  • Lastpage
    292
  • Abstract
    Fuzzy control has been applied to systems previously controlled by experienced operators, because the know-how involved in operating the systems can easily be represented by if-then fuzzy rules. Fuzzy model of the system to be controlled is also used. The authors propose a fuzzy predict and control method (FPCM), in which the fuzzy model is used for predicting future conditions of the system. The fundamental idea of FPCMs are discussed, and the procedure of an FPCM is precisely explained. A particular expert system, the integrated fuzzy control design system, IFCS, is described, and it is shown how it can be applied to an elevator group control system
  • Keywords
    control system CAD; expert systems; fuzzy set theory; predictive control; elevator group control system; expert system; if-then fuzzy rules; integrated fuzzy control design system; predictive control;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Control, 1988. CONTROL 88., International Conference on
  • Conference_Location
    Oxford
  • Print_ISBN
    0-85296-360-2
  • Type

    conf

  • Filename
    194167