• DocumentCode
    2385840
  • Title

    Stability analysis of nonlinear quadratic systems via polyhedral Lyapunov functions

  • Author

    Amato, F. ; Calabrese, F. ; Cosentino, C. ; Merola, A.

  • Author_Institution
    Sch. of Comput. Sci. & Biomed. Eng., Univ. degli Studi Magna Gratia di Catanzaro, Catanzaro
  • fYear
    2008
  • fDate
    11-13 June 2008
  • Firstpage
    2291
  • Lastpage
    2296
  • Abstract
    Quadratic systems play an important role in the modeling of a wide class of nonlinear processes (electrical, robotic, biological, etc.). For such systems it is of mandatory importance not only to determine whether the origin of the state space is locally asymptotically stable, but also to ensure that the operative range is included into the convergence region of the equilibrium. Based on this observation, this paper considers the following problem: given the zero equilibrium point of a nonlinear quadratic system, assumed to be locally asymptotically stable, and a certain polytope in the state space containing the origin, determine whether this polytope belongs to the region of attraction of the equilibrium. The proposed approach is based on polyhedral Lyapunov functions, rather than on the classical quadratic Lyapunov functions. An example shows that our methodology may return less conservative results than those obtainable with previous approaches.
  • Keywords
    Lyapunov methods; asymptotic stability; nonlinear control systems; state-space methods; asymptotic stability; nonlinear quadratic systems; polyhedral Lyapunov functions; quadratic Lyapunov functions; stability analysis; state space process; Biological system modeling; Computational biology; Control systems; Linear matrix inequalities; Lyapunov method; Nonlinear control systems; Polynomials; Stability analysis; State-space methods; Systems biology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2008
  • Conference_Location
    Seattle, WA
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4244-2078-0
  • Electronic_ISBN
    0743-1619
  • Type

    conf

  • DOI
    10.1109/ACC.2008.4586833
  • Filename
    4586833