WSEAS Transactions on Circuits and Systems
Print ISSN: 1109-2734, E-ISSN: 2224-266X
Volume 12, 2013
Analysis of Stability for Impulsive Stochastic Fuzzy Cohen-Grossberg Neural Networks with Mixed Delays
Authors: , ,
Abstract: 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.