• DocumentCode
    3191051
  • Title

    Necessary and sufficient conditions of quadratic stability of uncertain linear systems

  • Author

    Gu, Keqin ; Zohdy, M.A. ; Loh, Nan K.

  • Author_Institution
    Center for Robotics & Adv. Autom., Oakland Univ., Rochester, MI, USA
  • fYear
    1989
  • fDate
    13-15 Dec 1989
  • Firstpage
    464
  • Abstract
    The stability of linear systems subject to possibly fast time-varying uncertainties is analyzed. A necessary and sufficient condition for quadratic stability is derived. An uncertainty stability margin coefficient ρ is introduced to give a quantitative measure of the stability. It is proposed that the uncertain region be approximated by a convex hyperpolyhedron. In this case, the computation of ρ becomes a two-level optimization problem, in which the extremum of the inner level can be reached by one of the corners of the hyperpolyhedron
  • Keywords
    linear systems; optimisation; stability; linear systems; quadratic stability; two-level optimization; uncertain systems; uncertainty stability margin coefficient; Feedback control; Linear systems; Robotics and automation; Stability analysis; Stability criteria; Sufficient conditions; Symmetric matrices; Time varying systems; Uncertain systems; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1989., Proceedings of the 28th IEEE Conference on
  • Conference_Location
    Tampa, FL
  • Type

    conf

  • DOI
    10.1109/CDC.1989.70157
  • Filename
    70157