• DocumentCode
    3020686
  • Title

    Convergence problems in a class of model reference adaptive control systems

  • Author

    L. Thathachar, M. ; Gajendran, F.

  • Author_Institution
    Indian Institute of Science, Bangalore, India
  • fYear
    1977
  • fDate
    7-9 Dec. 1977
  • Firstpage
    1036
  • Lastpage
    1041
  • Abstract
    A class of model reference adaptive control system which make use of an augmented error signal has been introduced by Monopoli. Convergence problems in this attractive class of systems have been investigated in this paper using concepts from hyperstability theory. It is shown that the condition on the linear part of the system has to be stronger than the one given earlier. A boundedness condition on the input to the linear part of the system has been taken into account in the analysis - this condition appears to have been missed in the previous applications of hyperstability theory. Sufficient conditions for the convergence of the adaptive gain to the desired value are also given.
  • Keywords
    Adaptive control; Convergence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control including the 16th Symposium on Adaptive Processes and A Special Symposium on Fuzzy Set Theory and Applications, 1977 IEEE Conference on
  • Conference_Location
    New Orleans, LA, USA
  • Type

    conf

  • DOI
    10.1109/CDC.1977.271723
  • Filename
    4045993