DoS攻击下非线性质量的弹性分布式纳什均衡控制。

IF 9.4 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Shihan Zhou;Chao Deng;Sha Fan;Bohui Wang;Wei-Wei Che
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引用次数: 0

摘要

本文研究了通信网络中遭受拒绝服务攻击的非线性多智能体系统(MASs)的弹性分布式纳什均衡控制问题。与已有的非合作博弈中的网元寻优问题不同,本文首次研究了DoS攻击下非线性质量的弹性分布式网元控制问题。为了克服所考虑的问题所带来的挑战,开发了一种新的分层网元控制方法,该方法由弹性分布式网元搜索算法、两级联滤波器和弹性自适应控制器组成。具体而言,提出了弹性分布式网元搜索算法,以确保该算法中的动作即使在DoS攻击下也能收敛到网元上。然后,通过引入新型两级级联滤波器,设计了具有平滑特性的改进动作。通过使用新设计的动作及其导数,提出了一种弹性自适应控制器,以确保质量的输出收敛到网元。最后给出了仿真结果,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。
Resilient Distributed Nash Equilibrium Control for Nonlinear MASs Under DoS Attacks
This article investigates the resilient distributed Nash equilibrium (NE) control problem for nonlinear multiagent systems (MASs) that suffers from denial-of-service (DoS) attacks in the communication network. Different from the existing works on NE seeking in noncooperative games, it is the first trial to consider the resilient distributed NE control problem for nonlinear MASs under DoS attacks. To overcome the challenges caused by the considered problem, a new layered NE control method is developed, which consists of a resilient distributed NE seeking algorithm, two-stage cascade filters, and a resilient adaptive controller. Specifically, the resilient distributed NE seeking algorithm is proposed to ensure that the actions in this algorithm converge to the NE even under DoS attacks. Then, the improved actions with smooth characteristics are designed by introducing novel two-stage cascade filters. By using newly designed actions and their derivatives, a resilient adaptive controller is proposed to ensure that the output of MASs converges to the NE. Finally, simulation results are provided to verify the effectiveness of the proposed strategy.
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来源期刊
IEEE Transactions on Cybernetics
IEEE Transactions on Cybernetics COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, CYBERNETICS
CiteScore
25.40
自引率
11.00%
发文量
1869
期刊介绍: The scope of the IEEE Transactions on Cybernetics includes computational approaches to the field of cybernetics. Specifically, the transactions welcomes papers on communication and control across machines or machine, human, and organizations. The scope includes such areas as computational intelligence, computer vision, neural networks, genetic algorithms, machine learning, fuzzy systems, cognitive systems, decision making, and robotics, to the extent that they contribute to the theme of cybernetics or demonstrate an application of cybernetics principles.
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