• DocumentCode
    3279106
  • Title

    Distributed H2 control of multi-agent dynamic systems: Continuous-time case

  • Author

    Ghadami, R. ; Shafai, B.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA
  • fYear
    2010
  • fDate
    June 30 2010-July 2 2010
  • Firstpage
    3969
  • Lastpage
    3974
  • Abstract
    In this paper, we consider the problem of designing distributed controller for a number of identical dynamically coupled agents (vehicles). Under certain structural property associated with state space matrices of these systems, we present a modal decomposition approach that allows the design of distributed controller with H2 performance. The underlying mathematical derivation is based on Kronecker product and a special similarity transformation constructed from interconnection pattern matrix. This along with the result established for linear matrix inequality (LMI) make it possible to derive explicit expression for computing the parameters of distributed controller for both static state feedback and dynamic output feedback cases. The main contribution of the paper is the solution of distributed control problem for continuous-time systems under H2 performance by solving a set of LMIs. This set of LMIs enables to design a controller that has the same interconnection structure as the agents. An advantage of this decomposition approach is that the order of computational complexity is reduced by a factor N (the number of agents). The effectiveness of this method is demonstrated by way of a satellite formation example.
  • Keywords
    H control; continuous time systems; control system synthesis; distributed control; interconnected systems; linear matrix inequalities; state feedback; state-space methods; Kronecker product; computational complexity; continuous-time system; control design; distributed H2 control; dynamic output feedback; interconnection pattern matrix; interconnection structure; linear matrix inequality; mathematical derivation; modal decomposition; multiagent dynamic system; similarity transformation; state space matrix; static state feedback; Control systems; Distributed computing; Distributed control; Linear feedback control systems; Linear matrix inequalities; Matrix decomposition; Output feedback; State feedback; State-space methods; Vehicle dynamics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2010
  • Conference_Location
    Baltimore, MD
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4244-7426-4
  • Type

    conf

  • DOI
    10.1109/ACC.2010.5530637
  • Filename
    5530637