• DocumentCode
    3474912
  • Title

    Fuzzy logic control: a systematic design methodology

  • Author

    Wang, B.H. ; Vachtsevanos, G.

  • Author_Institution
    Sch. of Electr. Eng., Goergia Inst. of Technol., Atlanta, GA, USA
  • fYear
    1991
  • fDate
    11-13 Dec 1991
  • Firstpage
    1219
  • Abstract
    The authors present a systematic methodology for the design of a fuzzy logic control system. The basic design idea is the concept of an indirect control approach where selection of control parameters relies on the estimates of the process parameters. In the formulation of the fuzzy control problem, the process relation and the desired transition relation play an important role. In the proposed approach, an offline fuzzy identification scheme is used to identify the process relation of the unknown plant; an optimal control algorithm, based on the cell state space, is used to specify the desired transition relation. The use of the transition relation makes it possible to design the fuzzy optimal control systematically
  • Keywords
    control system synthesis; fuzzy control; optimal control; cell state space; control design; fuzzy logic control system; identification; offline fuzzy identification scheme; optimal control algorithm; process relation; systematic design methodology; transition relation; Control systems; Design methodology; Fuzzy control; Fuzzy logic; Fuzzy neural networks; Fuzzy set theory; Fuzzy systems; Nonlinear dynamical systems; Optimal control; State-space methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1991., Proceedings of the 30th IEEE Conference on
  • Conference_Location
    Brighton
  • Print_ISBN
    0-7803-0450-0
  • Type

    conf

  • DOI
    10.1109/CDC.1991.261566
  • Filename
    261566