Stability of Memristor-based Fractional-order Neural Networks with Mixed Time-delay and Impulsive

摘要

This paper investigates the global Mittag-Leffler stability of memristor-based fractional-order neural networks with mixed time-delay and impulsive. Firstly, based on assumptions, we get a Lemma about distributed delay, which is used to deal with the problems in this paper. Secondly, with the help of contraction mapping principle, the existence and uniqueness of the solution of the system are proved in this paper. Finally, this paper obtains a new sufficient condition which ensures the system globally Mittag-Leffler stable. Numerical simulations are used to verify the correctness and validity of the results in this paper.

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