二阶动力学聚集对策的分布式事件触发纳什均衡寻求

IF 19.2 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Yi Huang;Jian Sun;Qing Fei
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引用次数: 0

摘要

本文研究了聚集博弈的分布式纳什均衡寻求问题,该问题中每个参与人的决策服从二阶动力学并受非同凸集约束。为了寻求广义纳什均衡,提出了一种基于投影的常步长分布算法,该算法具有线性收敛性。特别地,引入了变量跟踪技术来估计聚合函数,并设计了事件触发机制来降低通信成本。最后通过数值算例对理论结果进行了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distributed Event-Triggered Nash Equilibrium Seeking for Aggregative Game with Second-Order Dynamics
Dear Editor, This letter studies the distributed Nash equilibrium seeking problem of aggregative game, in which the decision of each player obeys second-order dynamics and is constrained by nonidentical convex sets. To seek the generalized Nash equilibrium (GNE), a projection-based distributed algorithm via constant step-sizes is developed with linear convergence. In particular, a variable tracking technique is incorporated to estimate the aggregative function, and an event-triggered mechanism is designed to reduce the communication cost. Finally, a numerical example demonstrates the theoretical results.
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来源期刊
Ieee-Caa Journal of Automatica Sinica
Ieee-Caa Journal of Automatica Sinica Engineering-Control and Systems Engineering
CiteScore
23.50
自引率
11.00%
发文量
880
期刊介绍: The IEEE/CAA Journal of Automatica Sinica is a reputable journal that publishes high-quality papers in English on original theoretical/experimental research and development in the field of automation. The journal covers a wide range of topics including automatic control, artificial intelligence and intelligent control, systems theory and engineering, pattern recognition and intelligent systems, automation engineering and applications, information processing and information systems, network-based automation, robotics, sensing and measurement, and navigation, guidance, and control. Additionally, the journal is abstracted/indexed in several prominent databases including SCIE (Science Citation Index Expanded), EI (Engineering Index), Inspec, Scopus, SCImago, DBLP, CNKI (China National Knowledge Infrastructure), CSCD (Chinese Science Citation Database), and IEEE Xplore.
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