• DocumentCode
    747870
  • Title

    Fuzzy logic controllers are universal approximators

  • Author

    Castro, J.L.

  • Author_Institution
    Dept. de Ciencias de la Comput. e Inteligencia Artificial, Granada Univ., Spain
  • Volume
    25
  • Issue
    4
  • fYear
    1995
  • fDate
    4/1/1995 12:00:00 AM
  • Firstpage
    629
  • Lastpage
    635
  • Abstract
    In this paper, we consider a fundamental theoretical question on why does fuzzy control have such a good performance for a wide variety of practical problems. We try to answer this fundamental question by proving that for each fixed fuzzy logic belonging to a wide class of fuzzy logics, and for each fixed type of membership function belonging to a wide class of membership functions, the fuzzy logic control systems using these two and any method of defuzzification are capable of approximating any real continuous function on a compact set to arbitrary accuracy. On the other hand, this result can be viewed as an existence theorem of an optimal fuzzy logic control system for a wide variety of problems
  • Keywords
    function approximation; fuzzy control; fuzzy logic; fuzzy set theory; inference mechanisms; defuzzification; fuzzy control; fuzzy inference; membership functions; real continuous function approximation; universal approximators; Control systems; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Humans; Polynomials; Power system dynamics; Power system modeling; Turning;
  • fLanguage
    English
  • Journal_Title
    Systems, Man and Cybernetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9472
  • Type

    jour

  • DOI
    10.1109/21.370193
  • Filename
    370193