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Cognitive Neurodynamics

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01-12-2015 | Research Article

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

Authors: Abdujelil Abdurahman, Haijun Jiang, Kaysar Rahman

Published in: Cognitive Neurodynamics | Issue 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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Title: Function projective synchronization of memristor-based Cohen–Grossberg neural networks with time-varying delays
Authors: Abdujelil Abdurahman
Haijun Jiang
Kaysar Rahman
Publication date: 01-12-2015
Publisher: Springer Netherlands
Published in: Cognitive Neurodynamics / Issue 6/2015
Print ISSN: 1871-4080
Electronic ISSN: 1871-4099
DOI: https://doi.org/10.1007/s11571-015-9352-2

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