هماهنگ سازی شبکه های عصبی با تاخیر ممیزستر از طریق کنترل حرکت هیبریدی

Synchronization control problem is an important problem for the dynamical behaviors of neural networks. In this paper, by structuring hybrid impulsive and feedback controllers, synchronization problem of the memristive delayed neural networks is firstly promoted. Then, based on differential inclusions, several synchronization criteria for the memristive delayed neural networks are obtained by impulsive control theories, special inequalities and Lyapunov-type functional. In order to deduce synchronization conditions, the hybrid impulsive and feedback controllers are simultaneously used to control the memristive delayed neural networks, which promote and enrich the published results. Finally, the effectiveness of synchronization criteria is illustrated by two numerical examples.