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Neural Processing Letters
Erschienen in: Neural Processing Letters 3/2020

24.09.2020

Bipartite Synchronization Analysis of Fractional Order Coupled Neural Networks with Hybrid Control

verfasst von: Lingzhong Zhang, Yongqing Yang

Erschienen in: Neural Processing Letters | Ausgabe 3/2020

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Abstract

The bipartite synchronization problem for fractional order antagonistic coupled neural networks (FACNNs) is investigated in this paper. Using the properties of gamma function and special matrix, some criteria for bipartite Mittag–Leffler (M–L) synchronization and bipartite finite time synchronization of FACNNs have been obtained. To achieve bipartite finite time pinning synchronization, hybrid control strategy is designed. That is, finite time control combined with pinning control, pinning partial nodes, which can access the information of the leader. The upper bound of synchronization setting time is obtained.
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Metadaten
Titel
Bipartite Synchronization Analysis of Fractional Order Coupled Neural Networks with Hybrid Control
verfasst von
Lingzhong Zhang
Yongqing Yang
Publikationsdatum
24.09.2020
Verlag
Springer US
Erschienen in
Neural Processing Letters / Ausgabe 3/2020
Print ISSN: 1370-4621
Elektronische ISSN: 1573-773X
DOI
https://doi.org/10.1007/s11063-020-10332-6

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