• DocumentCode
    2569291
  • Title

    Exponential input-to-state stability for hybrid dynamical networks via impulsive interconnection

  • Author

    Bin Liu ; Hill, David J. ; Sun, Yunlian

  • Author_Institution
    Sch. of Eng., Australian Nat. Univ., Canberra, ACT, Australia
  • fYear
    2010
  • fDate
    15-17 Dec. 2010
  • Firstpage
    673
  • Lastpage
    678
  • Abstract
    This paper investigates the problem of exponential input-to-state stability (e-ISS) for hybrid dynamical networks (HDN) via impulsive interconnection. New concepts of input-to-state exponent property (IS-E) and augmented time are proposed for dynamical systems and hybrid systems respectively. By using IS-E estimations of nodes in HDN and methods such as multiple Lyapunov functions and hybrid time, two types of e-ISS criteria for continuous-time/discrete-time HDN are established respectively. The requirements on ISS property of every subsystem and small-gain condition for interconnection in interconnected systems or networks in the literature is relaxed. The obtained e-ISS results are extended to the case of delayed impulsive interconnection. One representative example is given to illustrate the theoretical results.
  • Keywords
    asymptotic stability; continuous time systems; delays; discrete time systems; interconnected systems; nonlinear dynamical systems; HDN; IS-E estimations; continuous time system; delayed impulsive interconnection; discrete time system; dynamical systems; exponential input-to-state stability; hybrid dynamical networks; hybrid systems; interconnected systems; Australia; Integrated circuits; Lyapunov method; Silicon; Stability criteria; Time domain analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2010 49th IEEE Conference on
  • Conference_Location
    Atlanta, GA
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4244-7745-6
  • Type

    conf

  • DOI
    10.1109/CDC.2010.5717240
  • Filename
    5717240