服务拒绝攻击
计算机科学
弹性(材料科学)
纳什均衡
分布式计算
多智能体系统
光学(聚焦)
马尔可夫过程
理论(学习稳定性)
计算机安全
数学优化
数学
人工智能
机器学习
互联网
光学
物理
万维网
统计
热力学
作者
Yifan Zhong,Yuan Yuan,Huanhuan Yuan
出处
期刊:IEEE Transactions on Industrial Informatics
[Institute of Electrical and Electronics Engineers]
日期:2023-12-01
卷期号:: 1-11
被引量:2
标识
DOI:10.1109/tii.2023.3332951
摘要
In this article, the primary focus is on studying a Nash equilibrium (NE) seeking algorithm to maintain system resilience in multi-agent systems (MASs), which are subject to denial-of-service (DoS) attacks and disturbance. Furthermore, we demonstrate the performance of the algorithm in tolerating such attacks. DoS attacks are modeled using Markov processes, and their impact on interagent communication is investigated. The considered n-order MAS is unable to maintain normal communication links when subjected to DoS attacks. To address this issue, stability analysis is conducted to demonstrate the effectiveness of the proposed NE seeking algorithm in achieving secure control of MAS. Conditions for maintaining resilience under attacks are also provided. Finally, numerical simulations are performed on a satellite cluster system, and physical experiments are conducted using a wheeled robot ground platform to validate the effectiveness of the algorithm.
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