4.4 Article

Consensus of NMASs with MSTs subjected to DoS attacks under event-triggered control

Journal

FILOMAT
Volume 37, Issue 17, Pages 5567-5580

Publisher

UNIV NIS, FAC SCI MATH
DOI: 10.2298/FIL2317567Z

Keywords

MASs; DoS attacks; ET scheme; Consensus; Markov random switching topologies

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The leader-following consensus of nonlinear multi-agent systems with Markov switching topologies under denial-of-service attacks and event-triggered control is investigated. An event-triggered strategy is applied to reduce unnecessary signal transmission, save network resources, and ensure system performance. The communication topologies are modeled as Markov switching topologies, and the transfer rates are assumed to be partially unknown. The Lyapunov direct method and stochastic analysis method are employed to establish sufficient conditions for achieving leader-following consensus. An example is provided to validate the effectiveness of the proposed methods and the correctness of the results.
The leader-following consensus (LFCs) of nonlinear multi-agent systems (NMASs) with Markov switching topologies (MSTs) subjected to denial-of-service (DoS) attacks under event-triggered (ET) control is studied. An ET strategy is applied to reduce unnecessary signal transmission among agents, save network resources, and ensure systems performance. As a result of the open communication network among agents, it is inevitably subjected to attacks that leads to changing in the communication topologies. The communication topologies among agents are modeled as MSTs, and the transfer rates (TRs) are assumed to be partially unknown. DoS attacks are the most common attacks due to their destructive, stealthy, and easy implementation, so the network attacks considered in this paper are DoS attacks. Based on the distributed control theory and Lyapunov stability theory, the Lyapunov direct method and stochastic analysis method are used to explore sufficient conditions for the systems to achieve LFCs. Finally, an example is provided to verify the effectiveness of the methods and the correctness of the results.

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