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Neural Computing and Applications

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01.11.2014 | Original Article

Global exponential synchronization for coupled switched delayed recurrent neural networks with stochastic perturbation and impulsive effects

verfasst von: Wei Zhang, Chuandong Li, Tingwen Huang, Jiangtao Qi

Erschienen in: Neural Computing and Applications | Ausgabe 6/2014

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Abstract

This paper focuses on the hybrid effects of stochastic perturbation, system switching, state delays and impulses on neural networks. Based on the Lyapunov functional method, switching analysis techniques, the comparison principle and a new impulsive delay differential inequality, we derive some sufficient conditions which depend on delay and impulses to guarantee the exponential synchronization of the coupling delay switching recurrent neural networks with stochastic perturbation. Simulation results finally demonstrate the effectiveness of the theoretical results.

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Titel: Global exponential synchronization for coupled switched delayed recurrent neural networks with stochastic perturbation and impulsive effects
verfasst von: Wei Zhang
Chuandong Li
Tingwen Huang
Jiangtao Qi
Publikationsdatum: 01.11.2014
Verlag: Springer London
Erschienen in: Neural Computing and Applications / Ausgabe 6/2014
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI: https://doi.org/10.1007/s00521-014-1608-y

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