Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1140183 | Mathematics and Computers in Simulation | 2009 | 13 Pages |
Abstract
In this paper, we study the impulsive stochastic Cohen–Grossberg neural networks with mixed delays. By establishing an L-operator differential inequality with mixed delays and using the properties of M-cone and stochastic analysis technique, we obtain some sufficient conditions ensuring the exponential p-stability of the impulsive stochastic Cohen–Grossberg neural networks with mixed delays. These results generalize a few previous known results and remove some restrictions on the neural networks. Two examples are also discussed to illustrate the efficiency of the obtained results.
Related Topics
Physical Sciences and Engineering
Engineering
Control and Systems Engineering
Authors
Xiaohu Wang, Qingyi Guo, Daoyi Xu,