Dynamic Event-Triggered Fuzzy Adaptive Resilient Consensus Control for Nonlinear MASs Under DoS Attacks

In this article, the adaptive fuzzy dynamic event-triggered output feedback resilient consensus control issue is investigated for nonlinear multiagent systems (MASs) subject to denial-of-service (DoS) attacks. Fuzzy logic systems (FLSs) are employed to model uncertain agents, and a state observer is...

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Published inIEEE transactions on systems, man, and cybernetics. Systems Vol. 54; no. 11; pp. 6683 - 6693
Main Authors Zhang, Jun, Zuo, Yi, Tong, Shaocheng
Format Journal Article
LanguageEnglish
Published IEEE 01.11.2024
Subjects
Communication channels
Computer crime
Consensus control
Denial-of-service (DoS) attacks
Denial-of-service attack
dynamic event-trigged communication mechanism
FLSs
Heuristic algorithms
nonlinear multiagent systems (MASs)
Observers
resilient consensus control
Topology
Online AccessGet full text
ISSN2168-2216
2168-2232
DOI10.1109/TSMC.2024.3426931

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Abstract In this article, the adaptive fuzzy dynamic event-triggered output feedback resilient consensus control issue is investigated for nonlinear multiagent systems (MASs) subject to denial-of-service (DoS) attacks. Fuzzy logic systems (FLSs) are employed to model uncertain agents, and a state observer is constructed to estimate unmeasurable states. An event-triggered distributed resilient observer is designed to save the communication resources between agents, and estimate the unknown leader and its high-order derivatives in case of the communication topology being interrupted by DoS attacks. By the designed state observer and distributed resilient observer, a dynamic event-triggered resilient consensus control method is presented. It is proved that the controlled MASs are stable, and the followers can track the leader under DoS attacks. Moreover, the Zeno behavior can be excluded. Finally, we apply the developed resilient consensus control algorithm to multiple unmanned surface vehicles (USVs), the simulation results verify its effectiveness.
AbstractList In this article, the adaptive fuzzy dynamic event-triggered output feedback resilient consensus control issue is investigated for nonlinear multiagent systems (MASs) subject to denial-of-service (DoS) attacks. Fuzzy logic systems (FLSs) are employed to model uncertain agents, and a state observer is constructed to estimate unmeasurable states. An event-triggered distributed resilient observer is designed to save the communication resources between agents, and estimate the unknown leader and its high-order derivatives in case of the communication topology being interrupted by DoS attacks. By the designed state observer and distributed resilient observer, a dynamic event-triggered resilient consensus control method is presented. It is proved that the controlled MASs are stable, and the followers can track the leader under DoS attacks. Moreover, the Zeno behavior can be excluded. Finally, we apply the developed resilient consensus control algorithm to multiple unmanned surface vehicles (USVs), the simulation results verify its effectiveness.
Author Zuo, Yi
Zhang, Jun
Tong, Shaocheng
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SubjectTerms Communication channels
Computer crime
Consensus control
Denial-of-service (DoS) attacks
Denial-of-service attack
dynamic event-trigged communication mechanism
FLSs
Heuristic algorithms
nonlinear multiagent systems (MASs)
Observers
resilient consensus control
Topology
Title Dynamic Event-Triggered Fuzzy Adaptive Resilient Consensus Control for Nonlinear MASs Under DoS Attacks
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Volume 54
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