Distributed Fault Detection and Dynamic Event-Triggered Consensus for Heterogeneous Multiagent Systems Under Deception Attacks

This paper focuses on the problem of distributed fault detection and leader-following output consensus for heterogeneous multiagent systems subject to deception attacks. During the information exchange and dissemination, a malicious attacker can make full use of specialized computer technology and l...

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Published inIEEE transactions on circuits and systems. I, Regular papers Vol. 70; no. 8; pp. 1 - 11
Main Authors Li, Shanglin, Chen, Yangzhou, Liu, Peter Xiaoping
Format Journal Article
LanguageEnglish
Published New York IEEE 01.08.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Compensators
Cyberattack
Deception
deception attacks
Distributed fault detection
dynamic event-triggered consensus
Energy distribution
Fault detection
heterogeneous multiagent systems
Integrated circuit modeling
Linear matrix inequalities
Mathematical analysis
Multi-agent systems
Multiagent systems
Observers
RLC circuits
System effectiveness
System performance
Task analysis
Online AccessGet full text
ISSN1549-8328
1558-0806
DOI10.1109/TCSI.2023.3274191

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Abstract This paper focuses on the problem of distributed fault detection and leader-following output consensus for heterogeneous multiagent systems subject to deception attacks. During the information exchange and dissemination, a malicious attacker can make full use of specialized computer technology and launch stochastic deception attacks against some vulnerable agents over the network. The attack signals in actual operation tend to be energy-constrained, and Bernoulli distribution can be used to describe the random features. Taking the attack information into account, the distributed fault detection observer and the dynamic consensus compensator are designed in two separate steps. In order to reduce unnecessary information transmission, a dynamic event-triggered mechanism with output-dependent threshold is introduced to the adjustment of consensus protocol. According to Lyapunov stability theory and linear matrix inequality (LMI) techniques, sufficient conditions are derived for developing the model gains of the observer and the compensator. Finally, a simulation example of RLC circuit systems is provided to illustrate the effectiveness of the obtained theoretical results.
AbstractList This paper focuses on the problem of distributed fault detection and leader-following output consensus for heterogeneous multiagent systems subject to deception attacks. During the information exchange and dissemination, a malicious attacker can make full use of specialized computer technology and launch stochastic deception attacks against some vulnerable agents over the network. The attack signals in actual operation tend to be energy-constrained, and Bernoulli distribution can be used to describe the random features. Taking the attack information into account, the distributed fault detection observer and the dynamic consensus compensator are designed in two separate steps. In order to reduce unnecessary information transmission, a dynamic event-triggered mechanism with output-dependent threshold is introduced to the adjustment of consensus protocol. According to Lyapunov stability theory and linear matrix inequality (LMI) techniques, sufficient conditions are derived for developing the model gains of the observer and the compensator. Finally, a simulation example of RLC circuit systems is provided to illustrate the effectiveness of the obtained theoretical results.
Author Liu, Peter Xiaoping
Li, Shanglin
Chen, Yangzhou
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SubjectTerms Compensators
Cyberattack
Deception
deception attacks
Distributed fault detection
dynamic event-triggered consensus
Energy distribution
Fault detection
heterogeneous multiagent systems
Integrated circuit modeling
Linear matrix inequalities
Mathematical analysis
Multi-agent systems
Multiagent systems
Observers
RLC circuits
System effectiveness
System performance
Task analysis
Title Distributed Fault Detection and Dynamic Event-Triggered Consensus for Heterogeneous Multiagent Systems Under Deception Attacks
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Volume 70
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