• DocumentCode
    1185305
  • Title

    A Novel Fuzzy System With Dynamic Rule Base

  • Author

    Chen, Weitian ; Saif, Mehrdad

  • Author_Institution
    Sch. of Eng. Sci., Simon Fraser Univ., Vancouver, BC
  • Volume
    13
  • Issue
    5
  • fYear
    2005
  • Firstpage
    569
  • Lastpage
    582
  • Abstract
    A new fuzzy system containing a dynamic rule base is proposed in this paper. The novelty of the proposed system is in the dynamic nature of its rule base which has a fixed number of rules and allows the fuzzy sets to dynamically change or move with the inputs. The number of the rules in the proposed system can be small, and chosen by the designer. The focus of this article is mainly on the approximation capability of this fuzzy system. The proposed system is capable of approximating any continuous function on an arbitrarily large compact domain. Moreover, it can even approximate any uniformly continuous function on infinite domains. This paper addresses existence conditions, and as well provides constructive sufficient conditions so that the new fuzzy system can approximate any continuous function with bounded partial derivatives. Finally, an example is given to show how the proposed fuzzy system can be effectively used for system modeling and control
  • Keywords
    approximation theory; function approximation; fuzzy set theory; fuzzy systems; approximation capability; continuous function; dynamic rule base; fuzzy sets; fuzzy system; Control system synthesis; Control systems; Councils; Function approximation; Fuzzy control; Fuzzy sets; Fuzzy systems; Modeling; Optimization methods; Sufficient conditions; Function approximation; fuzzy system; fuzzy theory;
  • fLanguage
    English
  • Journal_Title
    Fuzzy Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6706
  • Type

    jour

  • DOI
    10.1109/TFUZZ.2005.856566
  • Filename
    1516150