Litcius/Paper detail

Nash Equilibrium Seeking for Multi-Agent Systems Under DoS Attacks and Disturbances

Yifan Zhong, Yuan Yuan, Huanhuan Yuan

2023IEEE Transactions on Industrial Informatics25 citationsDOI

Abstract

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.

Topics & Concepts

Denial-of-service attackComputer scienceResilience (materials science)Nash equilibriumDistributed computingMulti-agent systemFocus (optics)Markov processStability (learning theory)Computer securityMathematical optimizationMathematicsArtificial intelligenceOpticsWorld Wide WebStatisticsPhysicsThermodynamicsThe InternetMachine learningExtremum Seeking Control SystemsSmart Grid Security and ResilienceDistributed Control Multi-Agent Systems