• DocumentCode
    1492613
  • Title

    A formal approach to fuzzy modeling

  • Author

    Lygeros, John

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., MIT, Cambridge, MA, USA
  • Volume
    5
  • Issue
    3
  • fYear
    1997
  • fDate
    8/1/1997 12:00:00 AM
  • Firstpage
    317
  • Lastpage
    327
  • Abstract
    A formalism for coding fuzzy models of dynamical systems is presented. It is shown that the formalism is rich enough to capture the performance of arbitrary conventional discrete time dynamical systems whose transition maps are polynomials with rational coefficients. The proof of this fact provides a constructive algorithm for generating fuzzy models to arbitrarily closely approximate an arbitrary map on a compact set. Our modeling formalism highlights the similarities between fuzzy systems and hybrid control systems. We hope to be able to exploit these similarities by extending results from the area of hybrid systems to the fuzzy domain and vice versa
  • Keywords
    discrete event systems; function approximation; fuzzy control; fuzzy set theory; fuzzy systems; inference mechanisms; modelling; polynomials; compact set; discrete time dynamical systems; formal approach; fuzzy modeling; fuzzy systems; hybrid control systems; polynomials; rational coefficients; transition maps; Control system synthesis; Design engineering; Function approximation; Fuzzy control; Fuzzy sets; Fuzzy systems; Logic; Mathematical model; Polynomials; Process design;
  • fLanguage
    English
  • Journal_Title
    Fuzzy Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6706
  • Type

    jour

  • DOI
    10.1109/91.618270
  • Filename
    618270