Abstract
This paper is concerned with the adaptive synchronization problem of fractional-order memristor-based neural networks with time delay. By combining the adaptive control, linear delay feedback control, and a fractional-order inequality, sufficient conditions are derived which ensure the drive–response systems to achieve synchronization. Finally, two numerical examples are given to demonstrate the effectiveness of the obtained results.
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