• DocumentCode
    3083730
  • Title

    Model following using multilayer perceptrons

  • Author

    Hush, D. ; Abdallah, C. ; Hore, B.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Eng., New Mexico Univ., Albuquerque, NM, USA
  • fYear
    1990
  • fDate
    5-7 Dec 1990
  • Firstpage
    1730
  • Abstract
    A model following controller is proposed for discrete nonlinear systems using a recursive multilayer perceptron (MLP). The MLP network contains dynamics and is able to minimize the error between the plant and a desired model in many cases. An example is given
  • Keywords
    discrete systems; model reference adaptive control systems; neural nets; nonlinear control systems; discrete nonlinear systems; model following controller; recursive multilayer perceptron; Backpropagation algorithms; Computer errors; Control systems; Delay; Multilayer perceptrons; Neural networks; Neurofeedback; Nonlinear control systems; Nonlinear systems; Output feedback;
  • 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.1990.203916
  • Filename
    203916
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3083730