• DocumentCode
    2404589
  • Title

    Fuzzy optimization method for the steady-state control of complex systems

  • Author

    Sidaoui, Assann ; Binder, Zdenek ; Perret, René

  • Author_Institution
    Lab. d´´Autom. de Grenoble, France
  • fYear
    1992
  • fDate
    1992
  • Firstpage
    2549
  • Abstract
    A novel methodology for resolving optimizing control problems of complex or ill-defined systems is presented based on fuzzy systems modeling and R. Bellman and L.A. Zadeh´s (1970) fuzzy model of decisions. The authors propose the application of fuzzy techniques to optimize systems which usually cannot be described in precise mathematical terms. A numerical example is presented to illustrate the proposed approach
  • Keywords
    decision theory; fuzzy control; optimal control; complex systems; decisions; fuzzy model; fuzzy optimisation; fuzzy systems modeling; fuzzy techniques; ill-defined systems; optimizing control; steady-state control; Computer hacking; Fuzzy control; Fuzzy sets; Fuzzy systems; Large-scale systems; Optimization methods; Steady-state;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1992., Proceedings of the 31st IEEE Conference on
  • Conference_Location
    Tucson, AZ
  • Print_ISBN
    0-7803-0872-7
  • Type

    conf

  • DOI
    10.1109/CDC.1992.371065
  • Filename
    371065