Fixed-time synchronization of the impulsive memristor-based neural networks. (English) Zbl 1524.34125
Summary: This paper concerns the fixed-time synchronization of a class of memristor-based neural networks with impulsive effects. Since impulses may destroy the synchronization, it is indispensable to design suitable controllers to control its unpredictable effects. In the present paper, two control schemes are proposed to achieve fixed-time synchronization of the impulsive memristor-based neural networks. Finally, two examples and their numerical simulations are presented to show the effectiveness of the theoretical results.
MSC:
| 34D06 | Synchronization of solutions to ordinary differential equations |
| 34A37 | Ordinary differential equations with impulses |
| 34H05 | Control problems involving ordinary differential equations |
| 92B20 | Neural networks for/in biological studies, artificial life and related topics |
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