Adaptive Memory Event-Triggered Observer-Based Control for Nonlinear Multi-Agent Systems Under DoS Attacks

This paper investigates the event-triggered security consensus problem for nonlinear multi-agent systems (MASs) under denial-of-service (DoS) attacks over an undirected graph. A novel adaptive memory observer-based anti-disturbance control scheme is presented to improve the observer accuracy by addi...

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Bibliographic Details
Published in:IEEE/CAA journal of automatica sinica 2021-10, Vol.8 (10), p.1644-1656
Main Authors: Guo, Xianggui, Zhang, Dongyu, Wang, Jianliang, Ahn, Choon Ki
Format: Article
Language:English
Subjects:
Adaptive control
Adaptive memory event-triggered mechanism (AMETM)
compensation mechanism
Denial of service attacks
denial-of-service (DoS) attacks
Denial-of-service attack
Design methodology
Fault tolerance
Fault tolerant systems
Linear matrix inequalities
Mathematical analysis
Multiagent systems
Nonlinear control
nonlinear multi-agent systems (MASs)
Nonlinear systems
observer-based anti-disturbance control
Observers
Simulation
Uncertainty
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Summary:This paper investigates the event-triggered security consensus problem for nonlinear multi-agent systems (MASs) under denial-of-service (DoS) attacks over an undirected graph. A novel adaptive memory observer-based anti-disturbance control scheme is presented to improve the observer accuracy by adding a buffer for the system output measurements. Meanwhile, this control scheme can also provide more reasonable control signals when DoS attacks occur. To save network resources, an adaptive memory event-triggered mechanism (AMETM) is also proposed and Zeno behavior is excluded. It is worth mentioning that the AMETM's updates do not require global information. Then, the observer and controller gains are obtained by using the linear matrix inequality (LMI) technique. Finally, simulation examples show the effectiveness of the proposed control scheme.
ISSN:2329-9266
2329-9274
DOI:10.1109/JAS.2021.1004132