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
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