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  Mean-square tracking consensus of heterogeneous multi-agent systems with additive noise and time delay

Sun, F., Lei, C., Kurths, J., Zhu, W. (2022): Mean-square tracking consensus of heterogeneous multi-agent systems with additive noise and time delay. - International Journal of Control, 95, 12, 3404-3415.
https://doi.org/10.1080/00207179.2021.1974570

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 Creators:
Sun, Fenglan1, Author              
Lei, Chengyu2, 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 discusses the mean-square tracking consensus of heterogeneous multi-agent systems with additive noise and time delay both over fixed and switching topologies. To weaken the noises, consensus gain is introduced into the control protocol. By using graph theory, stochastic analysis, matrix theory and velocity decomposition approach, sufficient conditions as well as the upper bound of time delay for the mean-square tracking consensus are obtained. Several simulations are given to verify the potential correctness of the results.

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Language(s): eng - English
 Dates: 2021-08-242021-09-152022-12
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1080/00207179.2021.1974570
MDB-ID: No data to archive
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Research topic keyword: Complex Networks
Research topic keyword: Nonlinear Dynamics
Model / method: Machine Learning
 Degree: -

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Title: International Journal of Control
Source Genre: Journal, SCI, Scopus
 Creator(s):
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Publ. Info: -
Pages: - Volume / Issue: 95 (12) Sequence Number: - Start / End Page: 3404 - 3415 Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/international-journal-control
Publisher: Taylor & Francis