Adaptive Formation for Multiagent Systems Subject to Denial-of-Service Attacks

The vulnerabilities of multi-agent-system (MAS) become a critical issue for cybersecurity. The article investigates the formation control problem for MASs under multi-channel denial-of-service (DoS) attacks. In this article, the attacks on each channel are independent, while most of the existing res...

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Vydáno v:IEEE transactions on circuits and systems. I, Regular papers Ročník 69; číslo 8; s. 3391 - 3401
Hlavní autoři: Pan, Kunpeng, Lyu, Yang, Pan, Quan
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.08.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
adaptive formation
Cybersecurity
Denial of service attacks
Denial-of-service attack
Eigenvalues and eigenfunctions
guaranteed-performance
Linear matrix inequalities
linear matrix inequality
Mathematical analysis
multi-agent system
Multi-agent systems
Multiagent systems
Protocols
State feedback
Systems stability
Task analysis
Upper bound
ISSN:1549-8328, 1558-0806
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Shrnutí:The vulnerabilities of multi-agent-system (MAS) become a critical issue for cybersecurity. The article investigates the formation control problem for MASs under multi-channel denial-of-service (DoS) attacks. In this article, the attacks on each channel are independent, while most of the existing results show that DoS attacks are the same on all channels. Without loss of generality, we consider multi-channel DoS attacks are imposed on a leader-follower MAS. Firstly, we propose a distributed formation control protocol to achieve the desired formation in the presence of DoS attacks. A translation-adaptive method is considered to adjust the interaction weights among neighboring agents online. Furthermore, a performance guarantee is derived based on the state information, and hereafter state errors among all agents can be regulated. Moreover, we derive the sufficient conditions for system stability w.r.t the controller gain and the allowable attack duration in the form of linear matrix inequalities (LMIs). Finally, simulation results are given to illustrate the effectiveness of the proposed method.
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ISSN:1549-8328
1558-0806
DOI:10.1109/TCSI.2022.3168163