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

LIU Zhen-wei; ZHANG Hua-guang; TONG Shao-cheng

您当前的位置：

首页 >

文章列表页 >

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

更新时间：2025-07-16

- Delay-Dependent Exponential Stability of Fuzzy Cellular Neural Networks with Time-Varying Delay
- Acta Electronica Sinica Vol. 37, Issue 3, Pages: 513-518(2009)
- 作者机构：
  
  1. 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,110004
  2. 东北大学信息科学与工程学院,辽宁,沈阳,110004
  3. 辽宁工业大学数理系,辽宁,锦州,121001
  4. 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,110004
  5. 东北大学信息科学与工程学院辽宁沈阳,110004
  6. 辽宁工业大学数理系辽宁锦州,121001
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP183
- Published：2009
- 稿件说明：
移动端阅览
LIU Zhen-wei, ZHANG Hua-guang, TONG Shao-cheng. Delay-Dependent Exponential Stability of Fuzzy Cellular Neural Networks with Time-Varying Delay[J]. Acta Electronica Sinica, 2009, 37(3): 513-518.
DOI：

LIU Zhen-wei, ZHANG Hua-guang, TONG Shao-cheng. Delay-Dependent Exponential Stability of Fuzzy Cellular Neural Networks with Time-Varying Delay[J]. Acta Electronica Sinica, 2009, 37(3): 513-518. DOI：

摘要

针对一类带有时变时滞的模糊细胞神经网络

通过适当的构造Lyapunov-Krasovskii泛函

以线性矩阵不等式的形式提出了一种新颖的依赖于时滞的全局指数稳定性判据.与之前结果相比

所提出的判据针对模糊时滞项进行了变换

从而首次考虑了模糊细胞神经网络中非模糊项的连接权矩阵中元素的符号问题

降低了判据的保守性.并且时滞变化率的限制将被放松.仿真结果进一步证明了判据的有效性.

Abstract

The novel delay-dependent global exponential stability criteria are proposed for fuzzy cellular neural networks with time-varying delay.By constructing a new Lyapunov-Krasovskii functional

the criteria expressed by the form of linear matrix inequality (LMI) are given.Compared with the previous literature

the signs of elements of weighting matrix are first considered.Thus

the obtain results are less conservative.Moreover

the restriction of the time derivative of time-varying delays is released in the proposed criteria.The simulations are given to show the effectiveness of the criteria.

关键词

Keywords

references

Views

922

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

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

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

Related Author

ZHANG Ying-ying

ZHOU Li-qun

MA Da-zhong

ZHANG Hua-guang

WANG Zhan-shan

FENG Jian

WANG Hong-wei

LIAN Jie

Related Institution

School of Mathematics Science, Tianjin Normal University

School of Information Science and Engineering, Northeastern University

School of Control Science and Engineering, Dalian University of Technology

School of Electrical Engineering, Xinjiang University

School of Control Science and Engineering Dalian University of Technology Dalian Liaoning China

⁰