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Neural Processing Letters

Erschienen in:

01.10.2014

Exponential \(p\)-Synchronization of Non-autonomous Cohen–Grossberg Neural Networks with Reaction-Diffusion Terms via Periodically Intermittent Control

verfasst von: Jun Mei, Minghui Jiang, Bin Wang, Qing Liu, Wangming Xu, Tao Liao

Erschienen in: Neural Processing Letters | Ausgabe 2/2014

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Abstract

The problem of \(p\)-synchronization for a class of stochastic non-autonomous reaction-diffusion Cohen–Grossberg networks with mixed delays by using periodically intermittent feedback control is investigated in this paper. Some exponential synchronization criteria based on \(p\)-norm are obtained by utilizing some analysis methods. These proofs indirectly generalized the Halanay inequality and facilitated the proof processing of the existing works. Finally, an illustrative example is given to show the effectiveness of the theoretical results.

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Titel: Exponential -Synchronization of Non-autonomous Cohen–Grossberg Neural Networks with Reaction-Diffusion Terms via Periodically Intermittent Control
verfasst von: Jun Mei
Minghui Jiang
Bin Wang
Qing Liu
Wangming Xu
Tao Liao
Publikationsdatum: 01.10.2014
Verlag: Springer US
Erschienen in: Neural Processing Letters / Ausgabe 2/2014
Print ISSN: 1370-4621
Elektronische ISSN: 1573-773X
DOI: https://doi.org/10.1007/s11063-013-9313-x

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