• DocumentCode
    3073649
  • Title

    A neural network architecture, for model reference adaptive control

  • Author

    Khorasani, K. ; Patel, R.V.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, Que., Canada
  • fYear
    1990
  • fDate
    5-7 Dec 1990
  • Firstpage
    2768
  • Abstract
    The authors present a neural network architecture For model reference adaptive control of nonlinear dynamical systems. The main feature of the network is its combined supervised and unsupervised learning strategy for controlling unknown dynamical systems
  • Keywords
    learning systems; model reference adaptive control systems; neural nets; nonlinear control systems; model reference adaptive control; neural network architecture; nonlinear dynamical systems; Adaptive control; Delay systems; Distributed processing; Fault tolerance; Linear systems; Linearity; Neural networks; Nonlinear systems; Parameter estimation; Signal representations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1990., Proceedings of the 29th IEEE Conference on
  • Conference_Location
    Honolulu, HI
  • Type

    conf

  • DOI
    10.1109/CDC.1990.203281
  • Filename
    203281
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3073649