Analysis of stability for impulsive stochastic fuzzy Cohen-Grossberg neural networks with mixed delays
نویسندگان
چکیده
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. Key–Words: Fuzzy Cohen-Grossberg neural networks, Global mean square exponential stability, Mixed delays, Impulses, Ito differential formula
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