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

被引：0
|
作者：
Ji Chen
Minghui Jiang
机构：
[1] China Three Gorges University,Three Gorges Mathematical Research Center
[2] China Three Gorges University,Institute of Nonlinear Complex Systems
来源：
Neural Processing Letters | 2023年 / 55卷
关键词：
Fractional-order; Memristor-based neural networks; Impulsive; Mixed time-delay; Globally Mittag-Leffler stable;
D O I：
暂无
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学科分类号：
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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页码：4697 / 4718
页数：21
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