• DocumentCode
    3297348
  • Title

    Stability of switched linear systems and the convergence of random products

  • Author

    Wang, N. ; Egerstedt, M. ; Martin, C.

  • Author_Institution
    Dept. of Math. & Stat., Texas Tech Univ., Lubbock, TX, USA
  • fYear
    2009
  • fDate
    15-18 Dec. 2009
  • Firstpage
    3721
  • Lastpage
    3726
  • Abstract
    In this paper we give conditions that a discrete time switched linear systems must satisfy if it is stable. We do this by calculating the mean and covariance of the set of matrices obtained by using all possible switches. The theory of switched linear systems has received considerable attention in the systems theory literature in the last two decades. However, for discrete time switched systems the literature is much older going back to at least the early 1960´s with the publication of the paper of Furstenberg and Kesten in the area of products of random matrices, or if you like the random products of matrices. The way that we have approached this problem is to consider the switched linear system as evolving on a partially ordered network that is, in fact, a tree. This allows us to make use of the developments of 50 years of study on random products that exists in the statistics literature. A nice byproduct of this research is that we use Konig´s theorem of finatary trees. This may be the first use of this theorem in systems and control.
  • Keywords
    convergence; covariance matrices; discrete time systems; linear systems; stability; time-varying systems; trees (mathematics); Konig finatary trees theorem; discrete time switched linear systems stability; random products convergence; Clinical trials; Control systems; Convergence; Diseases; Drugs; Linear systems; Medical treatment; Stability; Statistics; Switched systems;
  • 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.2009.5399755
  • Filename
    5399755