• DocumentCode
    2156352
  • Title

    Computation of structural system properties, integer matrices, and Bipartite Graphs

  • Author

    Sagianos, E. ; Karcanias, N.

  • Author_Institution
    Control Eng. Res. Centre, City Univ., London, UK
  • fYear
    2007
  • fDate
    2-5 July 2007
  • Firstpage
    3040
  • Lastpage
    3047
  • Abstract
    The computation of the McMillan degree and structure at infinity for large scale uncertain models of the type known as Structural Transfer Functions (STF) have been shown to be equivalent to determining the maximal weight of associated integer matrices. These problems are equivalent to the class of “Optimal Assignment Problems” developed for the family of resource allocation studies. A new algorithm that exploits notions of “reduceness” of integer matrices and the notions of Bipartite Graphs associated with them is presented here. The complexity of the algorithm is examined and its performance with respect to known optimal assignment methods is considered in terms of features and demonstrated by examples.
  • Keywords
    computational complexity; graph theory; matrix algebra; transfer functions; McMillan degree; McMillan structure; STF; algorithm complexity; bipartite graphs; integer matrices; large scale uncertain models; optimal assignment methods; resource allocation; structural transfer functions; Bipartite graph; Complexity theory; Cost accounting; Matrix decomposition; Poles and zeros; Polynomials;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ECC), 2007 European
  • Conference_Location
    Kos
  • Print_ISBN
    978-3-9524173-8-6
  • Type

    conf

  • Filename
    7068383