• DocumentCode
    1448041
  • Title

    Parameter-Dependent Lyapunov Functions for Linear Systems With Constant Uncertainties

  • Author

    Seiler, Peter ; Topcu, Ufuk ; Packard, Andy ; Balas, Gary

  • Author_Institution
    Univ. of Minnesota, Minneapolis, MN, USA
  • Volume
    54
  • Issue
    10
  • fYear
    2009
  • Firstpage
    2410
  • Lastpage
    2416
  • Abstract
    Robust stability of linear time-invariant systems with respect to structured uncertainties is considered. The small gain condition is sufficient to prove robust stability and scalings are typically used to reduce the conservatism of this condition. It is known that if the small gain condition is satisfied with constant scalings then there is a single quadratic Lyapunov function which proves robust stability with respect to all allowable time-varying perturbations. In this technical note we show that if the small gain condition is satisfied with frequency-varying scalings then an explicit parameter dependent Lyapunov function can be constructed to prove robust stability with respect to constant uncertainties. This Lyapunov function has a rational quadratic dependence on the uncertainties.
  • Keywords
    Lyapunov methods; continuous time systems; linear systems; nonlinear systems; perturbation techniques; robust control; time-varying systems; uncertain systems; PDLF; constant uncertainty; frequency-varying scaling; linear system; linear time-invariant system; nonlinear system; parameter-dependent Lyapunov function; quadratic Lyapunov function; robust stability; time-varying perturbation; Frequency domain analysis; Linear systems; Lyapunov method; Robust stability; Robustness; Sufficient conditions; Testing; Uncertain systems; Uncertainty; Upper bound; Parameter-dependent Lyapunov function (PDLF);
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.2009.2029294
  • Filename
    5256265