首页|Distributed Nash Equilibrium Seeking Strategies Under Quantized Communication

Distributed Nash Equilibrium Seeking Strategies Under Quantized Communication

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This paper is concerned with distributed Nash equi-librium seeking strategies under quantized communication.In the proposed seeking strategy,a projection operator is synthesized with a gradient search method to achieve the optimization of players'objective functions while restricting their actions within required non-empty,convex and compact domains.In addition,a leader-following consensus protocol,in which quantized informa-tion flows are utilized,is employed for information sharing among players.More specifically,logarithmic quantizers and uniform quantizers are investigated under both undirected and connected communication graphs and strongly connected digraphs,respec-tively.Through Lyapunov stability analysis,it is shown that play-ers'actions can be steered to a neighborhood of the Nash equilib-rium with logarithmic and uniform quantizers,and the quanti-fied convergence error depends on the parameter of the quan-tizer for both undirected and directed cases.A numerical exam-ple is given to verify the theoretical results.

Consensusdistributed Nash equilibrium seekingprojected gradient playquantized communication

Maojiao Ye、Qing-Long Han、Lei Ding、Shengyuan Xu、Guobiao Jia

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School of Automation,Nanjing University of Science and Technology,Nanjing 210094,China

School of Science,Computing and Engineering Technologies,Swinburne University of Technology,Melbourne VIC 3122,Australia

Institute of Advanced Technology,Nanjing University of Posts and Telecommunications,Nanjing 210023,China

国家自然科学基金国家自然科学基金国家自然科学基金国家自然科学基金江苏省自然科学基金江苏省自然科学基金Jiangsu Specially-Appointed ProfessorYoung Elite Scientists Sponsorship Program by China Association for Science and Technology1311 Talent Plan of Nanjing University of Posts and Telecommunications中央高校基本科研业务费专项

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2024

自动化学报(英文版)
中国自动化学会,中国科学院自动化研究所,中国科技出版传媒股份有限公司

自动化学报(英文版)

CSTPCDEI
ISSN:2329-9266
年,卷(期):2024.11(1)
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