Novel dynamic event-triggered consensus control of multiagent systems with Markovian switching topologies under DoS attacks
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 CyberneticsVolume
54Issue
11Pages
6971 - 6983Publisher
Institute of Electrical and Electronics Engineers (IEEE)Version
- AM (Accepted Manuscript)
Rights holder
© IEEEPublisher 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
2024-06-09Publication date
2024-07-04Copyright date
2024ISSN
2168-2267eISSN
2168-2275Publisher version
Language
- en