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Erschienen in: Cognitive Neurodynamics 6/2015

01.12.2015 | Research Article

Function projective synchronization of memristor-based Cohen–Grossberg neural networks with time-varying delays

verfasst von: Abdujelil Abdurahman, Haijun Jiang, Kaysar Rahman

Erschienen in: Cognitive Neurodynamics | Ausgabe 6/2015

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Abstract

This paper deals with the problem of function projective synchronization for a class of memristor-based Cohen–Grossberg neural networks with time-varying delays. Based on the theory of differential equations with discontinuous right-hand side, some novel criteria are obtained to realize the function projective synchronization of addressed networks by combining open loop control and linear feedback control. As some special cases, several control strategies are given to ensure the realization of complete synchronization, anti-synchronization and the stabilization of the considered memristor-based Cohen–Grossberg neural network. Finally, a numerical example and its simulations are provided to demonstrate the effectiveness of the obtained results.

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Metadaten
Titel
Function projective synchronization of memristor-based Cohen–Grossberg neural networks with time-varying delays
verfasst von
Abdujelil Abdurahman
Haijun Jiang
Kaysar Rahman
Publikationsdatum
01.12.2015
Verlag
Springer Netherlands
Erschienen in
Cognitive Neurodynamics / Ausgabe 6/2015
Print ISSN: 1871-4080
Elektronische ISSN: 1871-4099
DOI
https://doi.org/10.1007/s11571-015-9352-2

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