• DocumentCode
    2012872
  • Title

    Automated multi-mode fuzzy logic controller design

  • Author

    Hugo, Etienne M. ; Du Plessis, Jan J.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Stellenbosch Univ., South Africa
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    376
  • Lastpage
    382
  • Abstract
    An automated, multi-mode, fuzzy logic controller design method is presented. The method uses the sum of weights method to design consequences of an initial control rule base. The performance of the multi-mode controller is then improved using a model reference adaptive control scheme. The performance of the multi-mode fuzzy logic controller is compared to a self-learning, single-mode fuzzy logic controller using computer simulations and nonlinear plants
  • Keywords
    control system synthesis; fuzzy control; fuzzy set theory; model reference adaptive control systems; unsupervised learning; fuzzy control; fuzzy set theory; membership functions; model reference adaptive control; multiple mode controller; self-learning system; Adaptive control; Application software; Automatic control; Control systems; Design methodology; Error correction; Fuzzy control; Fuzzy logic; Fuzzy systems; Mathematical model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control, 2001. (ISIC '01). Proceedings of the 2001 IEEE International Symposium on
  • Conference_Location
    Mexico City
  • ISSN
    2158-9860
  • Print_ISBN
    0-7803-6722-7
  • Type

    conf

  • DOI
    10.1109/ISIC.2001.971539
  • Filename
    971539