Synchronization of stochastic delayed neural networks via aperiodically intermittent control

In this paper, the global exponential synchronization was researched for recurrent neural networks(RNN) with stochastic perturbation and time-varying delayed under inter-mittent control, which were aperiodically and adaptive control. By using the intermittent control theory, the average Lyapunov function, and some comparison properties, some sufficient condition ensuring synchronization of stochastic delayed recurrent neural networks were studied. Numerical results are presented to verify the main contributions.

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