• DocumentCode
    114586
  • Title

    Decentralized stabilization with symmetric topologies

  • Author

    Kirkoryan, A. ; Belabbas, M.-A.

  • Author_Institution
    Coordinated Sci. Lab., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
  • fYear
    2014
  • fDate
    15-17 Dec. 2014
  • Firstpage
    1347
  • Lastpage
    1352
  • Abstract
    A sparse matrix space is a vector space of matrices with entries that are either zero or arbitrary real. Letting the pattern of zero and arbitrary entries define an adjacency matrix (by setting the non-zero entries to one), we can attach a graph to such vector spaces and think of this graph as describing the decentralization structure of a control system. We want to determine whether this topology can sustain stable dynamics or, equivalently, whether the corresponding sparse matrix space contains stable matrices. We present in this paper a complete characterization the symmetric sparse matrix spaces that contain stable matrices.
  • Keywords
    decentralised control; graph theory; sparse matrices; vectors; adjacency matrix; decentralized stabilization; graph; matrix vector space; sparse matrix space; symmetric topologies; Aerospace electronics; Graph theory; Polynomials; Sparse matrices; Symmetric matrices; Topology; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-1-4799-7746-8
  • Type

    conf

  • DOI
    10.1109/CDC.2014.7039569
  • Filename
    7039569