Finite-time synchronization control of fractional-order memristive neural networks with time varying delays

This paper considers the finite-time synchronization control of fractional-order memristive neural networks with time varying delays. By utilizing the properties of fractional calculus and fractional-order comparison principle, we propose a new lemma. Base on the new lemma and some analysis techniques, some novel criteria are given to ensure finite-time synchronization of fractional-order memristive neural networks with time varying delays by adopting a delay-dependent feedback controller, and the upper bound of the setting time for synchronization is estimated. Finally, numerical simulations are given to verify the effectiveness of the obtained results and the superiority of the new finite-time stability theorem.