Synchronization of Cellular Neural Networks with Multiple Proportional Delays

XING Lin; ZHOU Li-qun

doi:10.3969/j.issn.0372-2112.2020.10.013

您当前的位置：

首页 >

文章列表页 >

Synchronization of Cellular Neural Networks with Multiple Proportional Delays

更新时间：2023-02-24

- Synchronization of Cellular Neural Networks with Multiple Proportional Delays
- Acta Electronica Sinica Vol. 48, Issue 10, Pages: 1961-1968(2020)
- 作者机构：
  
  天津师范大学数学科学学院,天津,300387
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0372-2112.2020.10.013
  CLC： O175.13TP183
- Published Online：25 October 2020，
  
  Published：2020
- 稿件说明：
移动端阅览
XING Lin, ZHOU Li-qun. Synchronization of Cellular Neural Networks with Multiple Proportional Delays[J]. Acta Electronica Sinica, 2020, 48(10): 1961-1968.
DOI：

XING Lin, ZHOU Li-qun. Synchronization of Cellular Neural Networks with Multiple Proportional Delays[J]. Acta Electronica Sinica, 2020, 48(10): 1961-1968. DOI： 10.3969/j.issn.0372-2112.2020.10.013.

摘要

基于混沌同步控制在保密通信及优化等诸多范畴的遍及应用，本文研究一类驱动-响应系统的同步性问题，包含指数同步性和多项式同步性.这里以一类带多比例时滞的细胞神经网络作为驱动系统，一类不带比例时滞的细胞神经网络作为响应系统.在激活函数满足Lipschitz的条件下，通过设计合适的时滞依赖的控制器，且利用Lyapunov稳定性理论及一些不等式分析探讨误差系统的稳定性，进而得到所研究的驱动-响应系统同步性的两个判定标准，然后给出数值模拟验证所得结果.

Abstract

Based on the general application of chaotic synchronization control in many fields

such as secure communication and optimization

the synchronization of a class of drive-response systems is studied in this paper

including exponential synchronization and polynomial synchronization.One kind of cellular neural network with multiple proportional delays is used as the driving system and the other one without the proportional delay is used for the response system.Under the condition that the activation function satisfies the Lipschitz

by designing a proper delay-dependent controller

using the Lyapunov stability theory and some inequality analysis and discussing the stability of the error system

two criteria of the synchronization for the driven response systems are obtained;then two simulations are shown to verify the results.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Multi-Element Circuit Simulation of Alterable Parameters and Switchable Fractional-Order Cellular Neural Networks

Global Exponential Stability in Hybrid Bidirectional Associative Memory Neural Networks with Proportional Delays

Exponential Stability of a Class of Cellular Neural Networks with Multi-Pantograph Delays

Stability of Cellular Neural Networks with Delay

Related Author

ZHANG Xiao-hong

YU Liang-hua

ZHOU Li-qun

ZHANG Ying-ying

ZHOU Li-qun

Zhong Shouming

Related Institution

Jiangxi University of Science and Technology Information Institute

School of Mathematics Science Tianjin Normal University Tianjin China

Department of Applied Mathematics.University of Electronic Science and Technology of China

⁰