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Mixed time-delays dependent exponential stability for uncertain stochastic high-order neural networks. (English) Zbl 1206.65025
Authors’ abstract: This paper presents a discrete and distributed time-delays dependent simultaneous approach to deterministic and uncertain stochastic high-order neural networks. New results are proposed in terms of a linear matrix inequality by exploiting a novel Lyapunov-Krasovskii functional and by making use of novel techniques for time-delay systems. Some constraints on the systems are removed, and the new results cover some recently published works. Two numerical examples are given to show the usefulness of presented approach.
##### MSC:
 65C30 Stochastic differential and integral equations 60H10 Stochastic ordinary differential equations 60H35 Computational methods for stochastic equations 65L20 Stability and convergence of numerical methods for ODE
##### References:
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