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  Predefined-time synchronization for extended memristive competitive neural networks with varied leakage delays

Zhao, Y., Duan, L., Kurths, J. (2026): Predefined-time synchronization for extended memristive competitive neural networks with varied leakage delays. - European Physical Journal - Special Topics, 234, 8593-8604.
https://doi.org/10.1140/epjs/s11734-025-01909-0

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 Urheber:
Zhao, Yong1, Autor
Duan, Lixia1, Autor
Kurths, Jürgen2, Autor           
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Zusammenfassung: In practical applications, there is the important problem: Can we make a system synchronize in any given time or hopeful time? In order to estimate the smaller upper bound of synchronization time, the predefined-time synchronization (PdT synchronization) of a class of extended memristive competitive neural networks(eMCNNs) with varied leakage delays is studied here. Through designing suitable controllers and inequality techniques, synchronization of eMCNNs with varied leakage delays can be indeed reached in a predefined time. Novel criteria of PdT synchronizations of this model are built to guarantee the PdT synchronization of eMCNNs with varied leakage delays. Finally, a numerical example shows the usefulness of our theoretical results and the explored effects of varied leakage delays on the PdT synchronization of eMCNNs with varied leakage delays.

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Sprache(n): eng - English
 Datum: 2025-09-072026-03-01
 Publikationsstatus: Final veröffentlicht
 Seiten: 12
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1140/epjs/s11734-025-01909-0
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
 Art des Abschluß: -

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Titel: European Physical Journal - Special Topics
Genre der Quelle: Zeitschrift, SCI, Scopus, p3
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 234 Artikelnummer: - Start- / Endseite: 8593 - 8604 Identifikator: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/150617
Publisher: Springer