• DocumentCode
    2828276
  • Title

    Synergy brittleness in decentralized minimax decision problems

  • Author

    Georgiev, D. ; Kabamba, P.T. ; Tilbury, D.M.

  • Author_Institution
    Michigan Univ., Ann Arbor
  • fYear
    2007
  • fDate
    12-14 Dec. 2007
  • Firstpage
    2470
  • Lastpage
    2477
  • Abstract
    When a subset of agents achieves the optimal cost of the full system synergy is brittle. A finite horizon, decentralized, minimax decision problem is considered, necessary and sufficient conditions for synergy brittleness are derived. It is shown that synergy brittleness results in decoupled subsystems. The decoupling is used to derive necessary and sufficient conditions for a decomposition of the optimization problem. A distributed cliquing algorithm that efficiently computes the decomposition is given, and uniformly optimal policies for each subproblem are derived. The methods developed herein are applicable to the optimization of large, multiagent systems. The results are illustrated on a perimeter patrolling example.
  • Keywords
    decentralised control; minimax techniques; multi-agent systems; decentralized minimax decision problems; decoupled subsystems; distributed cliquing algorithm; multiagent systems; optimization problem; perimeter patrolling example; synergy brittleness; system synergy; Cost function; Distributed computing; Minimax techniques; Multiagent systems; Optimization methods; Sufficient conditions; System performance; USA Councils; Uncertainty; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2007 46th IEEE Conference on
  • Conference_Location
    New Orleans, LA
  • ISSN
    0191-2216
  • Print_ISBN
    978-1-4244-1497-0
  • Electronic_ISBN
    0191-2216
  • Type

    conf

  • DOI
    10.1109/CDC.2007.4434802
  • Filename
    4434802