• DocumentCode
    1871772
  • Title

    A targeting approach to disturbance rejection in multi-agent systems

  • Author

    Liu, Yanbing ; Davison, D.E.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada
  • fYear
    2012
  • fDate
    April 29 2012-May 2 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper deals with the control of discrete-time linear multi-agent systems. We adopt and extend the “targeting” approach, first introduced by Spieser and Shams for plant regulation, to the disturbance rejection problem. Specifically, we assume that there are one or more disturbance agents interacting with the plant agents in some known manner. The disturbance signals are assumed to be unmeasured and, for simplicity, constant. Control agents are then introduced to interact with the plant agents, and each control agent is assigned a target plant agent. We derive a necessary condition for successful disturbance rejection, namely that a control agent must be connected to the same plant agent to which a disturbance agent is connected. Based on the idea of integral control and the earlier regulation results of Spieser and Shams, we then propose for the control agents a set of control laws to achieve disturbance rejection.
  • Keywords
    discrete time systems; linear systems; multi-agent systems; control agent; control laws; discrete-time linear multiagent systems; disturbance agents; disturbance rejection; integral control; plant regulation; targeting approach; Algorithm design and analysis; Computers; Eigenvalues and eigenfunctions; Equations; Heuristic algorithms; Joining processes; Multiagent systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical & Computer Engineering (CCECE), 2012 25th IEEE Canadian Conference on
  • Conference_Location
    Montreal, QC
  • ISSN
    0840-7789
  • Print_ISBN
    978-1-4673-1431-2
  • Electronic_ISBN
    0840-7789
  • Type

    conf

  • DOI
    10.1109/CCECE.2012.6335060
  • Filename
    6335060