Event-Triggered Security Consensus for Multi-Agent Systems with Markov Switching Topologies under DoS Attacks

Yuan Tian, Sheng Tian, Huaqing Li, Qi Han and Xiaonan Wang
Additional contact information
Yuan Tian: College of Intelligent Technology and Engineering, Chongqing University of Science and Technology, Chongqing 401331, China
Sheng Tian: College of Intelligent Technology and Engineering, Chongqing University of Science and Technology, Chongqing 401331, China
Huaqing Li: College of Electronic and Information Engineering, Southwest University, Chongqing 400075, China
Qi Han: College of Intelligent Technology and Engineering, Chongqing University of Science and Technology, Chongqing 401331, China
Xiaonan Wang: College of Safety Engineering, Chongqing University of Science and Technology, Chongqing 401331, China

Energies, 2022, vol. 15, issue 15, 1-16

Abstract: This paper studies secure consensus control for multi-agent systems subject to denial-of-service (DoS) attacks. The DoS attacks cause changes in topologies, which will destroy the channels of communication and result in network paralysis. Unlike the existing publications with Markov switching, this paper mainly studies the topological structure changes of the subsystem models after DoS attacks. To ensure the consensus of systems, this paper designs an event triggered to reduce the use of the controller and decrease the influence of channel breaks off caused by DoS attacks. On this basis, different Lyapunov functions are established in each period of attack. Then, stochastic and Lyapunov stable theory is used to form the consensus criteria. Moreover, Zeno behavior is excluded by theoretical analysis. Finally, the simulation experiment proves the effectiveness of the proposed protocol.

Keywords: multi-agent systems; markov switching; event-trigger strategy; secure consensus (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/15/15/5353/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/15/5353/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:15:p:5353-:d:870087

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().