• DocumentCode
    3492207
  • Title

    Successive fuzzy rule based tuning of industrial control systems

  • Author

    Vachkov, Gancho ; Nikolov, Metodi

  • Author_Institution
    Dept. of Autom. of Ind., Sofia Univ. of Technol., Bulgaria
  • Volume
    4
  • fYear
    1995
  • fDate
    20-24 Mar 1995
  • Firstpage
    2173
  • Abstract
    A supervisory control structure for successive plant model tuning and respective controller parameters adjustment has been proposed. The performance evaluation as well as the inference for model gain tuning use fuzzy rule based technique. Extensive analysis of an illustrative example has been performed showing the real applicability of the concept proposed
  • Keywords
    adaptive control; fuzzy control; industrial control; inference mechanisms; controller parameters adjustment; industrial control systems; model gain tuning; performance evaluation; successive fuzzy rule based tuning; successive plant model tuning; supervisory control structure; Adaptive control; Automatic control; Automation; Electrical equipment industry; Electronic mail; Furnaces; Fuzzy control; Fuzzy systems; Industrial control; Predictive models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 1995. International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium., Proceedings of 1995 IEEE Int
  • Conference_Location
    Yokohama
  • Print_ISBN
    0-7803-2461-7
  • Type

    conf

  • DOI
    10.1109/FUZZY.1995.409981
  • Filename
    409981