未知死区输入和DoS攻击下博弈的分布式纳什均衡寻求:数字孪生方法

IF 19.2 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Ming Yang;Maojiao Ye;Jun Shi
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引用次数: 0

摘要

亲爱的编辑,这封信的目的是解决纳什均衡寻求问题的游戏二阶玩家受到未知输入死区和拒绝服务(DoS)攻击。利用数字孪生的思想,提出了一种分布式纳什均衡寻求策略。在该策略中,双参与者被设计为二阶积分器,在此基础上提供分布式控制律,以寻找DoS攻击下的纳什均衡。此外,针对实际参与者合成了自适应控制律和滑模控制律,使其能够在未知输入死区下跟踪孪生参与者。理论研究表明,在给定条件下,所提出的策略能够有效地推动实际参与人的行动达到纳什均衡。通过数值算例验证了所提策略的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distributed Nash Equilibrium Seeking for Games Under Unknown Dead-Zone Inputs and DoS Attacks: A Digital Twin Approach
Dear Editor, This letter addresses the Nash equilibrium seeking problem for games with second-order players subject to unknown input dead-zones and denial-of-service (DoS) attacks. By using ideas from the digital twin, a distributed Nash equilibrium seeking strategy is proposed. In the proposed strategy, the twin players are designed to be second-order integrators, based on which a distributed control law is provided so as to find the Nash equilibrium under DoS attacks. Moreover, adaptive control laws and sliding mode control laws are synthesized for the actual players such that they can track the twin players under unknown input dead-zones. Theoretical investigations show that the proposed strategy is effective to drive the actions of actual players to the Nash equilibrium under the given conditions. A numerical example is provided to verify the effectiveness of the proposed strategy.
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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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