2021/06/30 by Ziqin Chen, Chen, Ziqin, Ji Ma +5
Computer Science · Decision Sciences · Medicine · #Distributed #Distributed Control Multi-Agent Systems #FOS: Computer and information sciences #FOS: Mathematics #Game Theory and Applications #Mathematical and Theoretical Epidemiology and Ecology Models #Optimization and Control (math.OC) #Parallel #and Cluster Computing (cs.DC)
paper · pdf · doi:10.48550/arxiv.2106.16002
openalex publication_date 2021/06/30 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
This paper investigates Nash equilibrium (NE) seeking problems for noncooperative games over multi-players networks with finite bandwidth communication. A distributed quantized algorithm is presented, which consists of local gradient play, distributed decision estimating, and adaptive quantization. Exponential convergence of the algorithm is established, and a relationship between the convergence rate and the bandwidth is quantitatively analyzed. Finally, a simulation of an energy consumption game is presented to validate the proposed results.