• DocumentCode
    300858
  • Title

    A formal approach to fuzzy modeling

  • Author

    Lygeros, John

  • Author_Institution
    Intelligent Machines & Robotics Lab., California Univ., Berkeley, CA, USA
  • Volume
    5
  • fYear
    1995
  • fDate
    21-23 Jun 1995
  • Firstpage
    3740
  • Abstract
    A formalism for coding fuzzy models of dynamical systems is presented. It is shown that the set of models consistent with this formalism contains models that are capable of duplicating the trajectories of an arbitrary conventional discrete time dynamical system, whose one step maps are polynomials with rational coefficients. The formalism also illustrates similarities between fuzzy systems and hybrid control systems that we hope to be able to exploit by extending results from the area of hybrid systems to the fuzzy domain and vice versa
  • Keywords
    discrete time systems; formal specification; fuzzy control; fuzzy systems; modelling; discrete time systems; dynamical systems; formalism; fuzzy control; fuzzy modeling; fuzzy systems; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Intelligent robots; Laboratories; Machine intelligence; Polynomials; Power system modeling; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, Proceedings of the 1995
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    0-7803-2445-5
  • Type

    conf

  • DOI
    10.1109/ACC.1995.533837
  • Filename
    533837