• DocumentCode
    321322
  • Title

    Robust neural stabilizers for unknown systems

  • Author

    Kosmatopoulos, E.B. ; Chasslakos, A. ; Boussalis, H. ; Ioannou, P.I.

  • Author_Institution
    Univ. of Southern California, Los Angeles, CA, USA
  • Volume
    2
  • fYear
    1997
  • fDate
    10-12 Dec 1997
  • Firstpage
    1579
  • Abstract
    We try to solve the stabilization problem in the case where the system is unknown and the only information about the system is that: the system is robustly stabilizable; the state dimension of the system is known; and the system vector-fields are at least C1
  • Keywords
    function approximation; neurocontrollers; nonlinear control systems; robust control; uncertain systems; vectors; robust neural stabilizers; stabilization problem; state dimension; unknown systems; vector-fields; Adaptive control; Control systems; Equations; Feedback loop; Lyapunov method; Neural networks; Nonlinear systems; Programmable control; Robust stability; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1997., Proceedings of the 36th IEEE Conference on
  • Conference_Location
    San Diego, CA
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-4187-2
  • Type

    conf

  • DOI
    10.1109/CDC.1997.657718
  • Filename
    657718
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=321322