Exponential p-stability of impulsive stochastic Cohen‐Grossberg neural networks with mixed delays

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.