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Neural Processing Letters

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01-12-2016

Global Mean Square Exponential Stability of Impulsive Non-autonomous Stochastic Neural Networks with Mixed Delays

Authors: Dingshi Li, Bing Li

Published in: Neural Processing Letters | Issue 3/2016

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Abstract

In this work, we consider a class of impulsive non-autonomous stochastic neural networks with mixed delays. By establishing a new generalized Halanay inequality with impulses, we obtain some sufficient conditions ensuring global mean square exponential stability of the addressed neural networks. The sufficient conditions are easily checked in practice by simple algebra methods and have a wider adaptive range. An example is given to illustrate our results.

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Title: Global Mean Square Exponential Stability of Impulsive Non-autonomous Stochastic Neural Networks with Mixed Delays
Authors: Dingshi Li
Bing Li
Publication date: 01-12-2016
Publisher: Springer US
Published in: Neural Processing Letters / Issue 3/2016
Print ISSN: 1370-4621
Electronic ISSN: 1573-773X
DOI: https://doi.org/10.1007/s11063-015-9492-8

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