Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1140091 | Mathematics and Computers in Simulation | 2012 | 13 Pages |
Abstract
In this paper, we establish a method to study the mean square exponential stability of the zero solution of impulsive stochastic reaction-diffusion Cohen–Grossberg neural networks with delays. By using the properties of M-cone and inequality technique, we obtain some sufficient conditions ensuring mean square exponential stability of the zero solution of impulsive stochastic reaction-diffusion Cohen–Grossberg neural networks with delays. The sufficient conditions are easily checked in practice by simple algebra methods and have a wider adaptive range. Two examples are also discussed to illustrate the efficiency of the obtained results.
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Authors
Dingshi Li, Danhua He, Daoyi Xu,