Asymptotically optimal decentralized control for a class of multi-agent systems

被引：0
|
作者：
Li Tao [1 ]
Zhang Ji-Feng [1 ]
机构：
[1] Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100080, Peoples R China
来源：
2006 CHINESE CONTROL CONFERENCE, VOLS 1-5 | 2006年
关键词：
Multi-Agent Systems; decentralized control; stochastic differential game; asymptotic Nash-equilibria; stochastic performance index;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The concept of asymptotic Nash-equilibria with respect to stochastic performance index is introduced, a decentralized control law is constructed for Large Population Dynamic Multi-Agent Systems (LPDMAS) with cost-coupled stochastic preformance indexes by using the state aggregation method. By the limit probability theory, it is shown that the closed-loop system is almost surely uniformly stable, and the control law is asymptotically optimal.
引用
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页码：1534 / +
页数：3
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