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
Link To Document :
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