Fixed-time Synchronization of Fractional-order Hopfield Neural Networks

被引：0
作者：
Xu Mei
Yucai Ding
机构：
[1] Southwest University of Science and Technology,School of Science
来源：
International Journal of Control, Automation and Systems | 2022年 / 20卷
关键词：
Feedback controller; fixed-time synchronization; fractional order; Hopfield neural networks;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper investigates the fixed-time synchronization of fractional-order Hopfield neural networks (FHNNs). The aim of this paper is to design a state-feedback controller to make the synchronization error convergent to zero within bounded time. Based on the Lyapunov function and fractional calculus theory, we derived some criteria of synchronization for delay-free FHNNs and delayed FHNNs, respectively. At the same time, the upper bound of settling time for synchronization are given. Numerical simulations demonstrate the effectiveness of the theoretical analysis.
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页码：3584 / 3591
页数：7
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