Consensus Based on Learning Game Theory

• 作 者: ZhongjieLin;HughH.T.Liu;
• 出 处: 2014中国制导、导航与控制学术会议
• 发表日期: 2014年期

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.