• DocumentCode
    3298312
  • Title

    The set of asymptotically stable switching sequences of linear discrete-time switching systems

  • Author

    Huang, Tingwen ; Luo, Jun ; Tingwen Huang ; Xiao, Ming Qing

  • Author_Institution
    Zhongshan Univ., Guangzhou, China
  • fYear
    2009
  • fDate
    15-18 Dec. 2009
  • Firstpage
    2162
  • Lastpage
    2167
  • Abstract
    In this paper we study the characterization of asymptotic stability for discrete-time switched linear systems. We first translate the system dynamics into a symbolic setting under the framework of symbolic topology. Then by using the ergodic measure theory, a lower bound estimate of Hausdorff dimension of the set of asymptotically stable sequences is obtained. We show that the Hausdorff dimension of the set of asymptotically stable switching sequences is positive if and only if the corresponding switched linear system has at least one asymptotically stable switching sequence. The obtained result reveals a underlying fundamental principle: a switched linear system either possesses uncountable numbers of asymptotically stable switching sequences or has none of them, provided that the switching is arbitrary.
  • Keywords
    asymptotic stability; discrete time systems; linear systems; sequences; statistical mechanics; time-varying systems; topology; Hausdorff dimension; asymptotic stability; asymptotically stable sequences; asymptotically stable switching sequences; discrete-time switched linear systems; ergodic measure theory; linear discrete-time switching systems; lower bound; symbolic topology; system dynamics; Asymptotic stability; Communication switching; Linear systems; Lyapunov method; Manipulator dynamics; Stability analysis; Switched systems; Switching systems; Topology; USA Councils; Discrete-time switched linear systems; Hausdorff dimension; asymptotically stability; ergodic probability measure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
  • Conference_Location
    Shanghai
  • ISSN
    0191-2216
  • Print_ISBN
    978-1-4244-3871-6
  • Electronic_ISBN
    0191-2216
  • Type

    conf

  • DOI
    10.1109/CDC.2009.5399807
  • Filename
    5399807