• DocumentCode
    2136721
  • Title

    Synthesis of nonlinear controllers via fuzzy logic

  • Author

    Langari, Rem

  • Author_Institution
    Dept. of Mech. Eng., Texas A&M Univ., College Station, TX, USA
  • fYear
    1993
  • fDate
    1993
  • Firstpage
    23
  • Abstract
    An analytic formulation of a class of fuzzy logic control algorithms is presented. This formulation makes use of the idea that characteristic functions of fuzzy sets may be considered to be algebraic functions of their arguments. Placing common constraints such as continuity and boundedness on these functions, and making use of a variation of the so-called centroid of area defuzzification rule, results in an analytic formulation of the control law that can be used to explain how fuzzy control algorithms function as they do, and makes formal analysis of fuzzy control systems, at least in principle, possible
  • Keywords
    algebra; control system analysis; control system synthesis; fuzzy control; fuzzy logic; fuzzy set theory; inference mechanisms; nonlinear control systems; algebraic functions; boundedness; centroid of area defuzzification rule; continuity; fuzzy logic; fuzzy sets; nonlinear controllers; Algorithm design and analysis; Bismuth; Error correction; Fuzzy control; Fuzzy logic; Fuzzy sets; Measurement standards; Mechanical engineering; Performance analysis; Steady-state;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 1993., Second IEEE International Conference on
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    0-7803-0614-7
  • Type

    conf

  • DOI
    10.1109/FUZZY.1993.327469
  • Filename
    327469