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Erschienen in: Neural Processing Letters 2/2020

27.07.2020

Finite/Fixed-Time Bipartite Synchronization of Coupled Delayed Neural Networks Under a Unified Discontinuous Controller

verfasst von: Haocong Wu, Xia Wang, Xiaoyang Liu, Jinde Cao

Erschienen in: Neural Processing Letters | Ausgabe 2/2020

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Abstract

This paper considers the finite-time and fixed-time bipartite synchronization (FFTBS) of coupled delayed neural networks (CDNNs) under signed graphs. For the structurally balanced or unbalanced network topology, both the goals of FFTBS of CDNNs are achieved simultaneously by a unified discontinuous controller. Some sufficient criterion are obtained to ensure the FFTBS under the new designed protocols, and the corresponding settling times are estimated as well. Finally, two simulations are established to verify the validity and effectiveness of the designs.

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Metadaten
Titel
Finite/Fixed-Time Bipartite Synchronization of Coupled Delayed Neural Networks Under a Unified Discontinuous Controller
verfasst von
Haocong Wu
Xia Wang
Xiaoyang Liu
Jinde Cao
Publikationsdatum
27.07.2020
Verlag
Springer US
Erschienen in
Neural Processing Letters / Ausgabe 2/2020
Print ISSN: 1370-4621
Elektronische ISSN: 1573-773X
DOI
https://doi.org/10.1007/s11063-020-10308-6

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