• DocumentCode
    3120445
  • Title

    An LMI characterization of polynomial parameter-dependent Lyapunov functions for robust stability

  • Author

    Oliveira, R.C.L.F. ; Leite, V.J.S. ; de Oliveira, M.C. ; Peres, P.L.D.

  • Author_Institution
    School of Electrical and Computer Engineering, University of Campinas, CP 6101, 13081-970, Campinas, SP, Brazil ricfow@dt.fee.unicamp.br
  • fYear
    2005
  • fDate
    12-15 Dec. 2005
  • Firstpage
    5024
  • Lastpage
    5029
  • Abstract
    This paper investigates the robust stability of continuous-time, time-invariant linear uncertain systems in polytopic domains. Robust stability is checked by constructing a quadratic parameter-dependent Lyapunov function. The matrix associated with this quadratic Lyapunov function is a polynomial function of the uncertain parameters, expressed as a particular polynomial matrix involving powers of the dynamic matrix of the system and one symmetric matrix to be determined. The degree of this polynomial matrix function is arbitrary. Finsler’s Lemma is used to lift the obtained stability conditions into a larger space in which sufficient stability tests can be developed in the form of Linear Matrix Inequalities (LMIs), which must be verified at the vertices of the uncertainty polytopic domain. Examples illustrate the method, which is compared with similar results in the literature by means of random numerical experiments.
  • Keywords
    Control systems; Linear matrix inequalities; Lyapunov method; Polynomials; Robust stability; Stability analysis; Symmetric matrices; Testing; Uncertain systems; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2005 and 2005 European Control Conference. CDC-ECC '05. 44th IEEE Conference on
  • Print_ISBN
    0-7803-9567-0
  • Type

    conf

  • DOI
    10.1109/CDC.2005.1582958
  • Filename
    1582958