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  Data-sampled time-varying formation for singular multi-agent systems with multiple leaders

Sun, F., Yu, X., Zhu, W., Kurths, J. (2024 online): Data-sampled time-varying formation for singular multi-agent systems with multiple leaders. - Neural Networks, 181, 106843.
https://doi.org/10.1016/j.neunet.2024.106843

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Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_31465 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_31465_1
Genre: Journal Article

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sun_2024_1-s2.0-S0893608024007676-main.pdf (Publisher version), 2MB
 
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 Creators:
Sun, Fenglan1, Author              
Yu, Xuemei2, Author
Zhu, Wei2, Author
Kurths, Jürgen1, Author              
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

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 Abstract: The time-varying formation problem of singular multi-agent systems under sampled data with multiple leaders is investigated in this paper. Firstly, a data-sampled time-varying formation control protocol is proposed in the current study where the communication among followers merely occurred at sampling instants, which can save the controller communication energy significantly. Secondly, necessary and sufficient conditions for the feasibility of the formation function are provided. In addition, an approach is presented to design the formation tracking control under sampled data with multiple leaders. Finally, numerical simulations validate the efficacy of the theoretical results.

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Language(s): eng - English
 Dates: 2024-10-31
 Publication Status: Published online
 Pages: 7
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.neunet.2024.106843
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
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Title: Neural Networks
Source Genre: Journal, SCI, Scopus
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Pages: - Volume / Issue: 181 Sequence Number: 106843 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/1879-2782
Publisher: Elsevier