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  Mean-square consensus of multi-agent systems with noise and time delay via event-triggered control

Sun, F., Shen, Y., Kurths, J., Zhu, W. (2020): Mean-square consensus of multi-agent systems with noise and time delay via event-triggered control. - Journal of the Franklin Institute, 357, 9, 5317-5339.
https://doi.org/10.1016/j.jfranklin.2020.02.047

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 Creators:
Sun, Fenglan1, Author              
Shen, Yunhao2, Author
Kurths, Jürgen1, Author              
Zhu, Wei2, Author
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

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 Abstract: This paper studies the mean-square consensus for multi-agent systems with measurement noise and time delay via event-triggered control. By combining graph theory, stochastic analysis and matrix theory, some necessary and sufficient conditions for the consensus protocols are given. We show that through the periodic event-checking technique, the consensus systems could tolerate even a large time delay. Several simulations are presented to illustrate the effectiveness of the control protocol.

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 Dates: 2020-06
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.jfranklin.2020.02.047
MDB-ID: Entry suspended
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Working Group: Network- and machine-learning-based prediction of extreme events
 Degree: -

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Title: Journal of the Franklin Institute
Source Genre: Journal, SCI, Scopus
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Pages: - Volume / Issue: 357 (9) Sequence Number: - Start / End Page: 5317 - 5339 Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journal-franklin-institute
Publisher: Elsevier