• DocumentCode
    1040438
  • Title

    Nonquadratic Lyapunov functions for robust stability analysis of linear uncertain systems

  • Author

    Zelentsovsky, A.L.

  • Author_Institution
    Inst. for Syst. Studies, Moscow, Russia
  • Volume
    39
  • Issue
    1
  • fYear
    1994
  • fDate
    1/1/1994 12:00:00 AM
  • Firstpage
    135
  • Lastpage
    138
  • Abstract
    In this note, we derive conditions of existence of a homogeneous polynomial Lyapunov function of an arbitrary even degree establishing global asymptotic stability of linear system with box-bounded uncertainty. Verification of these conditions is reduced to solving a convex minimization problem. We produce numerical examples that demonstrate significant improvement in estimates of admissible uncertainty bounds compared with estimates obtained via the most commonly used quadratic Lyapunov functions
  • Keywords
    Lyapunov methods; control system analysis; convex programming; linear systems; minimisation; stability; admissible uncertainty bounds; box-bounded uncertainty; convex minimization; existence; global asymptotic stability; homogeneous polynomial Lyapunov function; linear uncertain systems; nonquadratic Lyapunov functions; robust stability analysis; Equations; Linear systems; Lyapunov method; Polynomials; Robust stability; Stability analysis; Sufficient conditions; Uncertain systems; Uncertainty; Vectors;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/9.273350
  • Filename
    273350