• DocumentCode
    700650
  • Title

    NLq neural control theory: Case study for a ball and beam system

  • Author

    Verreist, H. ; Van Acker, K. ; Suykens, J. ; Motmans, B. ; De Moor, B. ; Vandewalle, J.

  • Author_Institution
    Dept. of Electr. Eng., Katholieke Univ. Leuven, Leuven, Belgium
  • fYear
    1997
  • fDate
    1-7 July 1997
  • Firstpage
    1303
  • Lastpage
    1308
  • Abstract
    In this paper we design a linear dynamic output feedback controller for a ball and beam system based on an identified neural state space model. This is done by applying dynamic backpropagation, constrained by NLq internal or I/O stability conditions. The performance of the controller has been tested on a real ball and beam set-up.
  • Keywords
    backpropagation; feedback; linear systems; neurocontrollers; stability; state-space methods; I/O stability conditions; NLq neural control theory; NLq internal; ball-and-beam system; dynamic backpropagation; linear dynamic output feedback controller design; neural state space model; Backpropagation; Closed loop systems; Cost function; Stability criteria; Training; Neural nets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ECC), 1997 European
  • Conference_Location
    Brussels
  • Print_ISBN
    978-3-9524269-0-6
  • Type

    conf

  • Filename
    7082280
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=700650