Synchronization of memristor-based fractional-order neural networks with time-varying delays via pinning and adaptive control

The problem about synchronization of the time-delay fractional-order memristor-based neural networks is investigated in this paper. By employing Razumikhin-type stability theory and inequality technique, several sufficient criteria for synchronization based on pinning control and adaptive control are derived. Finally, two examples are exploited to show the dramatically the obtained theoretical results.

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