Consensus Based on Learning Game Theory

被引：0
|
作者：
Lin, Zhongjie [1 ]
Liu, Hugh H. T. [1 ]
机构：
[1] Univ Toronto, Inst Aerosp Studies, Toronto, ON, Canada
来源：
2014 IEEE CHINESE GUIDANCE, NAVIGATION AND CONTROL CONFERENCE (CGNCC) | 2014年
关键词：
MULTIAGENT; COOPERATION;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, a systematic distributed optimization approach is proposed based on a fictitious play concept. The convergence of the algorithm is proven under the game theory framework. The result is equivalent to a consensus problem. It introduces a novel perspective to study the consensus problem. Such an equivalence is illustrated by numerical cases.
引用
收藏
页码：1856 / 1861
页数：6
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