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Novel dynamic event-triggered consensus control of multiagent systems with Markovian switching topologies under DoS attacks

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posted on 2024-12-05, 13:13 authored by Junyi Wang, Wenyuan He, Huaguang Zhang, Xiangpeng Xie, Yingchun Wang, Qinggang MengQinggang Meng

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.

Funding

Young and Middle-aged Science and Technology Innovation Talent of Shenyang: grant no. RC220485

Guangdong Basic and Applied Basic Research Foundation: grant no. 2022A1515140126

Guangdong Basic and Applied Basic Research Foundation: grant no. 2023A1515011172

Chunhui Plan Cooperative Project of Ministry of Education: grant no. HZKY20220424

10.13039/501100012226 - Fundamental Research Funds for the Central Universities: grant no.N2426002

10.13039/501100001809 - National Natural Science Foundation of China: grant no. 62173080

10.13039/501100001809 - National Natural Science Foundation of China: grant no. U20A20197

History

School

  • Science

Department

  • Computer Science

Published in

IEEE Transactions on Cybernetics

Volume

54

Issue

11

Pages

6971 - 6983

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Version

  • AM (Accepted Manuscript)

Rights holder

© IEEE

Publisher statement

This accepted manuscript is made available under the Creative Commons Attribution licence (CC BY) under the terms of the JISC 2024 IEEE green open access agreement.

Acceptance date

2024-06-09

Publication date

2024-07-04

Copyright date

2024

ISSN

2168-2267

eISSN

2168-2275

Language

  • en

Depositor

Prof Qinggang Meng. Deposit date: 19 August 2024