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  Resilient Event-Triggered Control Strategies for Second-Order Consensus

Xu, W., Kurths, J., Wen, G., Yu, X. (2022): Resilient Event-Triggered Control Strategies for Second-Order Consensus. - IEEE Transactions on Automatic Control, 67, 8, 4226-4233.
https://doi.org/10.1109/TAC.2021.3122382

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 Creators:
Xu, Wenying1, Author
Kurths, Jürgen2, Author              
Wen, Guanghui 1, Author
Yu, Xinghuo 1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: This article investigates the second-order consensus issue for multiagent systems subject to both limited communication resources and replay attacks. First, an asynchronous dynamic edge event-triggered (DEET) communication scheme is developed to reduce the utilization of network resources in the absence of attacks. Then, we further consider the case of replay attacks launched by multiple adversaries, under which the transmitted information is maliciously replaced by a previous unnecessary message. To overcome the impact caused by replay attacks, a modified DEET scheme and an effective attack-resilient consensus protocol are well constructed, both of which successfully guarantee second-order consensus in the presence of replay attacks. In addition, internal dynamic variables are utilized in the proposed DEET schemes such that the triggering time sequence does not exhibit Zeno behavior. Finally, one numerical example is provided to illustrate our theoretical analysis.

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Language(s): eng - English
 Dates: 2021-10-262022-08-01
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1109/TAC.2021.3122382
Research topic keyword: Complex Networks
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Research topic keyword: Nonlinear Dynamics
Model / method: Machine Learning
Working Group: Network- and machine-learning-based prediction of extreme events
MDB-ID: No data to archive
 Degree: -

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Title: IEEE Transactions on Automatic Control
Source Genre: Journal, SCI, Scopus
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Pages: - Volume / Issue: 67 (8) Sequence Number: - Start / End Page: 4226 - 4233 Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/ieee-transactions-automatic-control
Publisher: Institute of Electrical and Electronics Engineers (IEEE)