• DocumentCode
    3027420
  • Title

    Past, present and future of fuzzy control: a case for application of fuzzy logic in hierarchical control

  • Author

    Langari, Rem

  • Author_Institution
    Dept. of Mech. Eng., Texas A&M Univ., College Station, TX, USA
  • fYear
    1999
  • fDate
    36342
  • Firstpage
    760
  • Lastpage
    765
  • Abstract
    Fuzzy logic control emerged in the mid 1970s as a paradigm for rule based control of dynamic systems, primarily in process type control situations. In the past two decades, and specially in the mid 80s to mid 90s, fuzzy logic control, has been successfully deployed in a broad spectrum of application areas ranging from automatic train operation to flight systems. None the less there remains a great deal of scepticism within the control community as to what the real merits of this paradigm are. We focus on the positive aspect of fuzzy logic control, as well as some significant controversial issues that surround this paradigm. In particular, we contend that while the semantic transparency offered by fuzzy logic enables control engineers to efficiently develop control strategies in application areas marked by low order dynamics with weak nonlinearities, the broader impact of fuzzy logic should be in hierarchically structured systems, perhaps in combination with conventional control techniques. We offer examples of application of fuzzy logic in hierarchical setting and discuss a number of theoretical issues that arise in these settings
  • Keywords
    fuzzy control; fuzzy logic; hierarchical systems; intelligent control; automatic train operation; control engineers; control strategies; controversial issues; dynamic systems; flight systems; fuzzy logic control; hierarchical control; hierarchically structured systems; low order dynamics; process type control situations; rule based control; semantic transparency; weak nonlinearities; Automatic control; Computer aided software engineering; Control nonlinearities; Control systems; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Mechanical engineering; Nonlinear control systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information Processing Society, 1999. NAFIPS. 18th International Conference of the North American
  • Conference_Location
    New York, NY
  • Print_ISBN
    0-7803-5211-4
  • Type

    conf

  • DOI
    10.1109/NAFIPS.1999.781796
  • Filename
    781796