• DocumentCode
    1902447
  • Title

    Fuzzy logic controllers: from development to deployment

  • Author

    Bonissone, Piero P. ; Chiang, Kenneth H.

  • Author_Institution
    General Electric Corp., Schenectady, NY, USA
  • fYear
    1993
  • fDate
    1993
  • Firstpage
    610
  • Abstract
    Fuzzy logic control technology is viewed as a high level language in which one can efficiently define and synthesize nonlinear controllers for a given process. Fuzzy proportional integral (PI) controllers are compared to conventional PI and two-dimensional sliding mode controllers. The development of fuzzy logic controllers (FLSs) is compared to that of knowledge based system (KBS) applications. The comparison is decomposed into reasoning tasks (representation, inference, and control) and application tasks (acquisition, development, validation, compilation, and deployment). After a review of the reasoning tasks, the compilation of fuzzy rule bases into fast access lookup tables is discussed. These tables can be used by a simplified run-time engine to determine the FLC´s crisp output for a given input
  • Keywords
    fuzzy control; inference mechanisms; intelligent control; knowledge based systems; table lookup; uncertainty handling; 2D sliding mode control; application tasks; fuzzy PI control; fuzzy logic control; fuzzy rule bases; intelligent control; lookup tables; nonlinear controllers; reasoning tasks; Control system synthesis; Control systems; Fuzzy control; Fuzzy logic; Fuzzy reasoning; High level languages; Knowledge based systems; Pi control; Proportional control; Sliding mode control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1993., IEEE International Conference on
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    0-7803-0999-5
  • Type

    conf

  • DOI
    10.1109/ICNN.1993.298545
  • Filename
    298545