Stability of Stochastic Impulsive Neural Networks with Unbounded Time-Varying Delays

In this paper, the problem of asymptotic stability for stochastic impulsive neural networks with unbounded time-varying delays is investigated. It is of great interest in both theory and practice that the stability of neural networks with unbounded time-varying delays is investigated. New stability criteria are presented by using Lyapunov-Kraovskii functional and linear matrix inequalities. An example is presented to demonstrate the effectiveness of the main results.

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