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

ZHANG Ying-ying; ZHOU Li-qun

doi:10.3969/j.issn.0372-2112.2012.06.015

您当前的位置：

首页 >

文章列表页 >

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

更新时间：2025-07-16

- Exponential Stability of a Class of Cellular Neural Networks with Multi-Pantograph Delays
- Acta Electronica Sinica Vol. 40, Issue 6, Pages: 1159-1163(2012)
- 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：
  
  National Natural Science Foundation of China (No.60974144);Science and Technology Development Fund for Colleges and Universities of Tianjin Municipality (No.20100813);Doctoral Fundation of Tianjin Normal University (No.52LX34)
- DOI：10.3969/j.issn.0372-2112.2012.06.015
  CLC： O175.13
- Published：2012
- 稿件说明：
移动端阅览
ZHANG Ying-ying, ZHOU Li-qun. Exponential Stability of a Class of Cellular Neural Networks with Multi-Pantograph Delays[J]. Acta Electronica Sinica, 2012, 40(6): 1159-1163.
DOI：

ZHANG Ying-ying, ZHOU Li-qun. Exponential Stability of a Class of Cellular Neural Networks with Multi-Pantograph Delays[J]. Acta Electronica Sinica, 2012, 40(6): 1159-1163. DOI： 10.3969/j.issn.0372-2112.2012.06.015.

摘要

讨论了一类具多比例延时的细胞神经网络的指数稳定性.利用非线性测度得到了一个保证平衡点存在唯一且指数稳定的充分条件

并给出了解的指数收敛速度.最后验证了结论的正确性并进行了模拟仿真.

Abstract

The exponential stability of a class of cellular neural networks with multi-pantograph delays is studied.In view of nonlinear measure

a sufficient condition is derived for the existence

uniqueness and exponential stability of the equilibrium point.And the method gains the exponential convergent velocity of the solutions.Finally

an example is provided to illustrate effectiveness of the method.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Delay-Dependent Exponential Stability of Fuzzy Cellular Neural Networks with Time-Varying Delay

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

Stability of Cellular Neural Networks with Delay

Output Feedback Control of Non-Uniformly Sampled Systems Based on Switching Principle

Synchronization of Cellular Neural Networks with Multiple Proportional Delays

Related Author

LIU Zhen-wei

ZHANG Hua-guang

TONG Shao-cheng

ZHANG Xiao-hong

YU Liang-hua

Zhong Shouming

WANG Hong-wei

LIAN Jie

Related Institution

东北大学流程工业综合自动化教育部重点实验室

东北大学信息科学与工程学院

辽宁工业大学数理系

东北大学流程工业综合自动化教育部重点实验室辽宁沈阳

东北大学信息科学与工程学院辽宁沈阳

⁰