• DocumentCode
    1356147
  • Title

    Necessary and sufficient conditions of quadratic stability of uncertain linear systems

  • Author

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

  • Author_Institution
    Sch. of Eng. & Comput. Sci., Oakland Univ., Rochester, MI, USA
  • Volume
    35
  • Issue
    5
  • fYear
    1990
  • fDate
    5/1/1990 12:00:00 AM
  • Firstpage
    601
  • Lastpage
    604
  • Abstract
    The stability of linear systems subject to possibly fast time-varying uncertainties is analyzed. A necessary and sufficient condition of 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; time-varying systems; convex hyperpolyhedron; necessary conditions; optimization; quadratic stability; sufficient conditions; time-varying uncertainties; uncertain linear systems; Control systems; Feedback control; Linear systems; Robotics and automation; Stability criteria; Sufficient conditions; Symmetric matrices; Time varying systems; Uncertain systems; Uncertainty;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/9.53534
  • Filename
    53534