• DocumentCode
    3524971
  • Title

    Algebraic characterization of observability in distance-regular consensus networks

  • Author

    Kibangou, Alain Y. ; Commault, Christian

  • Author_Institution
    Gipsa-Lab., Univ. Joseph Fourier, Grenoble, France
  • fYear
    2013
  • fDate
    10-13 Dec. 2013
  • Firstpage
    1313
  • Lastpage
    1318
  • Abstract
    In this paper, we study the observability issue in consensus networks modeled with strongly regular graphs or distance regular graphs. We derive a Kalman-like simple algebraic criterion for observability in distance regular graphs. This criterion consists in evaluating the rank of a matrix built with the components of the Bose-Mesner algebra associated with the considered graph. Then, we state a simple necessary condition of observability based on parameters of the graph, namely the diameter, the degree, and the number of vertices of the graph.
  • Keywords
    Kalman filters; graph theory; matrix algebra; observability; Bose-Mesner algebra; Kalman-like simple algebraic criterion; distance regular graphs; distance-regular consensus networks; graph degree; graph diameter; graph vertices; matrix; observability algebraic characterization; strongly regular graphs; Algebra; Arrays; Controllability; Kalman filters; Mathematical model; Observability; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
  • Conference_Location
    Firenze
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-5714-2
  • Type

    conf

  • DOI
    10.1109/CDC.2013.6760064
  • Filename
    6760064