• DocumentCode
    3163315
  • Title

    Set theory based condition in LMI form for network topology preservation for decentralized control

  • Author

    Fiacchini, Mirko ; Morarescu, I.

  • Author_Institution
    CRAN, Univ. de Lorraine, Vandoeuvre-les-Nancy, France
  • fYear
    2012
  • fDate
    10-13 Dec. 2012
  • Firstpage
    6229
  • Lastpage
    6234
  • Abstract
    Connectivity preservation of the interconnection network is an essential ingredient in decentralized control. This paper focuses on the preservation of a given network topology which ensures the connectivity. We consider a networked system with a discrete dynamics in which two subsystems are able to communicate if an algebraic relation between their states is satisfied. The connected subsystems are called neighbours. The subsystems updates their state in a decentralized manner by taking into account their neighbours state. Each connection is preserved as far as the algebraic relation is verified. The objective of the proposed set theory based control law is to keep the state of each subsystem in a specific domain that ensures the algebraic constraint satisfaction. The resulting control design reduces to the solution of convex problems involving Linear Matrix Inequalities (LMI), then easily solvable. Beside the network preservation, the global coordination may be imposed by adding supplementary constraints in the control design.
  • Keywords
    control system synthesis; decentralised control; linear matrix inequalities; set theory; LMI form; algebraic constraint satisfaction; connectivity preservation; convex problem; decentralized control; discrete dynamics; global coordination; interconnection network; linear matrix inequalities; network topology preservation; set theory based condition; set theory based control law; Artificial neural networks; Distributed control; Network topology; Nickel; Set theory; Topology; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
  • Conference_Location
    Maui, HI
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-2065-8
  • Electronic_ISBN
    0743-1546
  • Type

    conf

  • DOI
    10.1109/CDC.2012.6426020
  • Filename
    6426020