Finite-Time Synchronization of Coupled Inertial Memristive Neural Networks with Mixed Delays via Nonlinear Feedback Control

被引：0
|
作者：
Cuiping Yang
Zuoliang Xiong
Tianqing Yang
机构：
[1] Nanchang University,Department of Mathematics
来源：
Neural Processing Letters | 2020年 / 51卷
关键词：
Finite-time synchronization; Fixed-time synchronization; Nonlinear feedback control; Time delays;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The finite-time synchronization of coupled inertial memristive neural networks (IMNNs) systems is discussed in this paper. Firstly, a mathematical model of IMNNs with time-varying delays is given, then the original system is transformed into a first-order differential equation by selecting a suitable variable substitution. Secondly, by using two different controllers and the definition of the upper right-hand derivative, it can be guaranteed that finite-time and fixed-time synchronization between response system and drive system based on finite time stability and fixed time theory. Finally, two numerical simulations are given to illustrate the effectiveness of the main results.
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页码：1921 / 1938
页数：17
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