带有变时滞的高阶模糊细胞神经网络的指数稳定性(英文)

郭汴京; 滕志东; 蒋海军

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带有变时滞的高阶模糊细胞神经网络的指数稳定性(英文)

更新时间：2026-01-21

- 带有变时滞的高阶模糊细胞神经网络的指数稳定性(英文)
- Journal of Xinjiang University (Natural Science Edition in Chinese and English) Vol. 112, Issue 4, Pages: 428-436(2008)
- 作者机构：
  
  新疆大学数学与系统科学学院
- 作者简介：
- 基金信息：
- DOI：
  CLC： O175.13
- Published：2008
- 稿件说明：
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[1]郭汴京,滕志东,蒋海军.带有变时滞的高阶模糊细胞神经网络的指数稳定性(英文)[J].新疆大学学报(自然科学版),2008,No.112(04):428-436.

郭汴京, 滕志东, 蒋海军. 带有变时滞的高阶模糊细胞神经网络的指数稳定性(英文)[J]. Journal of Xinjiang University (Natural Science Edition in Chinese and English), 2008, 112(4): 428-436.
[1]郭汴京,滕志东,蒋海军.带有变时滞的高阶模糊细胞神经网络的指数稳定性(英文)[J].新疆大学学报(自然科学版),2008,No.112(04):428-436. DOI：

郭汴京, 滕志东, 蒋海军. 带有变时滞的高阶模糊细胞神经网络的指数稳定性(英文)[J]. Journal of Xinjiang University (Natural Science Edition in Chinese and English), 2008, 112(4): 428-436. DOI：

摘要

研究了带有变时滞的高阶模糊细胞神经网络(HFCNNs)的全局指数稳定性.通过引入非奇异M-矩阵和使用Lyapunov泛函方法

得到了带有常时滞和变时滞的高阶模糊细胞神经网络全局指数稳定性的充分条件.

Abstract

In this paper

the global exponential stability of high-order fuzzy cellular neural networks (HFCNNs) with time-varying delays is proposed. Employing nonsingular M-matrix and Lyapunov functional method

some new sufficient conditions are derived for checking global exponential stability of the HFCNNs with constant and time-varying delays.

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references

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