• DocumentCode
    1660962
  • Title

    Intelligent control using fixed and adaptive models

  • Author

    Narendra, Kumpati S. ; Balakrishnan, Jeyendran

  • Author_Institution
    Dept. of Electr. Eng., Yale Univ., New Haven, CT, USA
  • Volume
    2
  • fYear
    1994
  • Firstpage
    1680
  • Abstract
    The paper deals with the problem of intelligent control using multiple identification models, switching and tuning. This approach was introduced by the authors (1994) to improve the transient performance of adaptive systems in a stable fashion. The method is extended in this paper to the case where both fixed and adaptive identification models are included. The principal contribution of the paper is the demonstration of the stability of such adaptive switching systems for a general class of switching and tuning schemes. Extensive simulation results reveal that substantial improvement in performance can be obtained with the methods proposed, and this has been experimentally verified by others in robot control problems
  • Keywords
    adaptive control; identification; intelligent control; stability; tuning; adaptive models; fixed models; intelligent control; multiple identification models; robot control; stability; switching; transient performance; tuning; Adaptive control; Adaptive systems; Control design; Intelligent control; Process control; Programmable control; Robot control; Stability; Switching systems; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1994., Proceedings of the 33rd IEEE Conference on
  • Conference_Location
    Lake Buena Vista, FL
  • Print_ISBN
    0-7803-1968-0
  • Type

    conf

  • DOI
    10.1109/CDC.1994.411198
  • Filename
    411198