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  Event-Triggered Fixed-Time Attitude Consensus With Fixed and Switching Topologies

Jin, X., Shi, Y., Tang, Y., Werner, H., Kurths, J. (2022): Event-Triggered Fixed-Time Attitude Consensus With Fixed and Switching Topologies. - IEEE Transactions on Automatic Control, 67, 8, 4138-4145.
https://doi.org/10.1109/TAC.2021.3108514

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 Urheber:
Jin, Xin 1, Autor
Shi, Yang1, Autor
Tang, Yang1, Autor
Werner, Herbert1, Autor
Kurths, Jürgen2, Autor              
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Zusammenfassung: In this article, event-triggered attitude consensus is considered for multiagent systems with guaranteed fixed-time convergence. Due to the non-Euclidean property of the attitude configuration space, the attitude consensus is more challenging to achieve under the sampled-data setting. An event-triggered attitude consensus protocol and event-triggered condition are proposed based on the axis–angle attitude representation. The fixed-time attitude consensus is reached if the initial attitudes lie in local regions on the attitude configuration space. The theoretical results reveal that the settling time is related to the interevent interval and the algebraic connectivity of the topology graph. We further consider the consensus protocol under a jointly connected graph, and establish the settling time estimation that depends on the switching instants. Numerical simulations are conducted to verify the validity of the theoretical results finally.

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Sprache(n): eng - Englisch
 Datum: 2021-08-302022-08-01
 Publikationsstatus: Final veröffentlicht
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1109/TAC.2021.3108514
MDB-ID: No data to archive
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Research topic keyword: Complex Networks
Model / method: Machine Learning
Working Group: Network- and machine-learning-based prediction of extreme events
 Art des Abschluß: -

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Titel: IEEE Transactions on Automatic Control
Genre der Quelle: Zeitschrift, SCI, Scopus
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Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 67 (8) Artikelnummer: - Start- / Endseite: 4138 - 4145 Identifikator: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/ieee-transactions-automatic-control
Publisher: Institute of Electrical and Electronics Engineers (IEEE)