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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.

65C30 Numerical solutions to stochastic differential and integral equations
60H10 Stochastic ordinary differential equations (aspects of stochastic analysis)
60H35 Computational methods for stochastic equations (aspects of stochastic analysis)
65L20 Stability and convergence of numerical methods for ordinary differential equations
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