DocumentCode :
582624
Title :
Stackelberg games of large population multi-agent systems: Centralized and distributed strategies
Author :
Wang, Bing-Chang ; Zhang, Ji-Feng
Author_Institution :
Acad. of Math. & Syst. Sci., Beijing, China
fYear :
2012
fDate :
25-27 July 2012
Firstpage :
6303
Lastpage :
6308
Abstract :
In the paper, Stackelberg games are investigated for large population multi-agent systems involving a major agent and a large number of minor agents. In each stage of the game, the major agent first makes decisions, and then all minor agents give strategies simultaneously. A set of centralized Stackelberg equilibrium strategy is first provided, and then, by the mean field approach and the brute force method, a set of distributed strategies is given. Under a mild condition, it is shown that the closed-loop system is uniformly stable and the set of distributed strategies is an ε-Stackelberg equilibrium.
Keywords :
closed loop systems; game theory; multi-agent systems; ε-Stackelberg equilibrium; Stackelberg equilibrium strategy; Stackelberg games; closed-loop system; large population multiagent systems; minor agents; Closed loop systems; Games; Indexes; Mathematical model; Real-time systems; Sociology; Statistics; Multi-agent system; Stackelberg equilibrium; distributed games; mean field approach; optimal control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2012 31st Chinese
Conference_Location :
Hefei
ISSN :
1934-1768
Print_ISBN :
978-1-4673-2581-3
Type :
conf
Filename :
6391045
Link To Document :
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