典型文献
Distributed Nash Equilibrium Seeking Over Random Graphs
文献摘要：
Dear Editor,
This letter is concerned with the distributed Nash equilibrium(NE)seeking in an N-player game over random graphs.We develop a dis-tributed stochastic forward-backward(DSFB)algorithm based on local information exchange between agents.We prove that the DSFB algorithm can converge to an NE almost surely,and analyze the con-vergence rate of the proposed algorithm.Compared with the existing works on distributed NE seeking,the communication graph in this letter is supposed to be time-varying and stochastic,which makes the NE seeking algorithm more suitable for practical scenarios,but brings a great challenge in both the design and convergence analysis of the algorithm.Besides,by establishing a variational inequality on NE,we relax the co-coercivity or strong monotonicity assumption on the extended pseudo-gradient.
文献关键词：
中图分类号：
作者姓名：
Ji Ma;Jiayu Qiu;Xiao Yu;Weiyao Lan
作者机构：
Department of Automation,Xiamen University,and the Key Laboratory of Control and Navigation(Xiamen University),Fujian Province University,Xiamen 361005;Department of Automation,Xiamen University and the Key Laboratory of Control and Navigation(Xiamen University),Fujian Province University,Xiamen 361005,and also with the Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province(IKKEM),Xiamen 361005,China
文献出处：
引用格式：
[1]Ji Ma;Jiayu Qiu;Xiao Yu;Weiyao Lan-.Distributed Nash Equilibrium Seeking Over Random Graphs)[J].自动化学报（英文版）,2022(12):2193-2196
A类：
DSFB
B类：
Distributed,Nash,Equilibrium,Seeking,Over,Random,Graphs,Dear,Editor,
This,letter,concerned,distributed,equilibrium,NE,seeking,player,game,over,random,graphs,We,develop,stochastic,forward,backward,algorithm,local,information,exchange,between,agents,prove,that,can,almost,surely,analyze,rate,proposed,Compared,existing,works,communication,this,supposed,varying,which,makes,more,suitable,practical,scenarios,brings,great,challenge,both,design,convergence,analysis,Besides,by,establishing,variational,inequality,relax,coercivity,strong,monotonicity,assumption,extended,pseudo,gradient
AB值：
0.621847
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