Resilient Discrete-Time Quantization Communication for Distributed Nash Equilibrium Seeking Under DoS Attacks

IF 3.2 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS International Journal of Robust and Nonlinear Control Pub Date : 2024-10-15 DOI:10.1002/rnc.7674
Xin Cai, Xinyuan Nan, Bingpeng Gao
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Abstract

This paper studies the design of resilient distributed Nash equilibrium (NE) algorithm for second-order multi-agent systems in the presence of Denial-of-Service (DoS) attacks, which prevent information transmission in the network with limited bandwidth and transmission rate. Resilient communication schemes, integrating periodic/event-triggered schemes and a dynamic quantized transmission method, are designed in a distributed NE seeking algorithm to ensure the convergence of agents' strategies to the NE of the game. For the designed two resilient communication schemes, the sufficient conditions for the convergence of the algorithm are established, and the tradeoff between the sampling period and the frequency and duration of DoS attacks is analyzed. Cournot competition with distributed energy resources is used as an example to verify the proposed methods.

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DoS攻击下分布式纳什均衡寻优的弹性离散量化通信
研究了二阶多智能体系统在DoS攻击下的弹性分布式纳什均衡(NE)算法设计,以防止信息在有限带宽和传输速率的网络中传输。在分布式网元搜索算法中,设计了弹性通信方案,将周期/事件触发方案与动态量化传输方法相结合,以确保agent的策略收敛于博弈的网元。针对所设计的两种弹性通信方案,建立了算法收敛的充分条件,并分析了采样周期与DoS攻击频率和持续时间之间的权衡。以分布式能源的古诺竞争为例验证了所提方法的有效性。
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来源期刊
International Journal of Robust and Nonlinear Control
International Journal of Robust and Nonlinear Control 工程技术-工程:电子与电气
CiteScore
6.70
自引率
20.50%
发文量
505
审稿时长
2.7 months
期刊介绍: Papers that do not include an element of robust or nonlinear control and estimation theory will not be considered by the journal, and all papers will be expected to include significant novel content. The focus of the journal is on model based control design approaches rather than heuristic or rule based methods. Papers on neural networks will have to be of exceptional novelty to be considered for the journal.
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