Quasi-synchronization of fractional-order complex-value neural networks with discontinuous activations

In this paper, under the framework of Filippov solutions, quasi-synchronization issue of fractional-order complex-valued neural networks (FCNNs) with discontinuous activations and uncertainties is investigated. Firstly, using Laplace transform and the property of Mittag-Leffler function, a novel fra...

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Bibliographic Details
Published in:Neurocomputing (Amsterdam) 2023-12, Vol.560, p.126856, Article 126856
Main Authors: Wang, Lin, Li, Hong-Li, Zhang, Long, Hu, Cheng, Jiang, Haijun
Format: Article
Language:English
Subjects:
Complex-valued neural networks
Discontinuous activations
Fractional-order
Quasi-synchronization
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Summary:In this paper, under the framework of Filippov solutions, quasi-synchronization issue of fractional-order complex-valued neural networks (FCNNs) with discontinuous activations and uncertainties is investigated. Firstly, using Laplace transform and the property of Mittag-Leffler function, a novel fractional differential inequality is derived. Then combining the newly constructed inequality with delay feedback control scheme, several quasi-synchronization conditions are obtained for the considered FCNNs by means of non-decomposable method. Eventually, a numerical example is provided to substantiate validation of the proposed results.
ISSN:0925-2312
1872-8286
DOI:10.1016/j.neucom.2023.126856