Analysis of stability for impulsive stochastic fuzzy Cohen-Grossberg neural networks with mixed delays

摘要

In this paper, the problem of stability analysis for a class of impulsive stochastic fuzzy Cohen-Grossberg neural networks with mixed delays is considered. Based on M-matrix theory and stochastic analysis technique, a sufficient condition is obtained to ensure the existence, uniqueness, and global exponential stability in mean square means of the equilibrium point for the addressed impulsive stochastic fuzzy Cohen-Grossberg neural network with mixed delays. Moreover an illustrative example is given to demonstrate the effectiveness of the results obtained.