Exponential stability for stochastic neural networks of neutral-type with discrete and distributed time-delays

In this paper, the global robust exponential stability is investigated for uncertain neural networks of neutral-type with mixed time delays. Based on Lyapunov-Krasovskii stability theory and stochastic analysis approaches, several new criteria and derived to guarantee the exponential stability of the system. A numerical example is given to demonstrate the applicability of our proposed stability criteria.

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