JOURNAL ARTICLE

Novel Dynamic Event-Triggered Consensus Control of Multiagent Systems With Markovian Switching Topologies Under DoS Attacks

Junyi WangWenyuan HeHuaguang ZhangXiangpeng XieYingchun WangQinggang Meng

Year: 2024 Journal:   IEEE Transactions on Cybernetics Vol: 54 (11)Pages: 6971-6983   Publisher: Institute of Electrical and Electronics Engineers

Abstract

This article focuses on the issue of novel dynamic event-triggered consensus control of multiagent systems (MASs) with denial-of-service (DoS) attacks. Different from the conventional Markovian switching topologies, the generally uncertain semi-Markovian (GUSM) switching topologies with partially unknown elements and time-dependent uncertainties are constructed for the leader-following MASs by considering the equipment performance and external uncertain environment influence. To save communication resources, the novel dynamic memory event-triggered strategy (DMETS) is presented to decrease the frequency of communication between agents. Some secure consensus control criteria are established for the MASs with GUSM switching topologies and DoS attacks due to the potential system communication disruption caused by attackers. Finally, two physical system examples are designed to prove the effectiveness of the presented method.

Keywords:
Network topology Multi-agent system Computer science Control (management) Markov process Event (particle physics) Consensus Distributed computing Topology (electrical circuits) Computer network Engineering Mathematics Physics Artificial intelligence

Metrics

12
Cited By
10.04
FWCI (Field Weighted Citation Impact)
46
Refs
0.96
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Distributed Control Multi-Agent Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications
Distributed systems and fault tolerance
Physical Sciences →  Computer Science →  Computer Networks and Communications

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