摘要
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 o 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.
基金
supported by the National Natural Science Foundation of China (NSFC)(62222308, 62173181, 62073171, 62221004)
the Natural Science Foundation of Jiangsu Province (BK20200744, BK20220139)
Jiangsu Specially-Appointed Professor (RK043STP19001)
the Young Elite Scientists Sponsorship Program by CAST (2021QNRC001)
1311 Talent Plan of Nanjing University of Posts and Telecommunications
the Fundamental Research Funds for the Central Universities (30920032203)。