arrow
返回

Concise lagrange stability condition for multiple-delay competitive neural networks

delete2025-05-23
delete0
PRE
AI
W
Weijing Yan
Y
Yu Xue
X
Xian Zhang *
DOI:10.1007/s40314-025-03262-3delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
本文研究了具有多个时变泄漏延迟的竞争性神经网络(CNNs)的拉格朗日稳定性。本研究基于系统解的特性提出了一种新颖的方法,从而获得了保证CNNs拉格朗日稳定性的简洁充分条件。该方法不仅能有效处理多个时变泄漏延迟,还能产生更简单的拉格朗日稳定性条件,仅需求解少量简单不等式即可。最后,通过数值示例验证了所获得结果的正确性。
Keyword:
Competitive neural networks (CNNs)
Lagrange stability
Multiple time-varying leakage delays
A direct method based on system solutions.

期刊

Applied and Computational Mathematics 封面图
Applied and Computational Mathematics
IF:
4.3
论文数:
354
被引数:
593

机构

暂无机构信息
引用论文

引用论文

Impulsive effects on stability and passivity analysis of memristor-based fractional-order competitive neural networks
err2020-12-01
err159
PREAI
errRajchakit, G.; Chanthorn, P.; Niezabitowski, M.; Raja, R.; Baleanu, D.; Pratap, A.
err分享
err收藏
err分享
err收藏
Multistability of delayed fractional-order competitive neural networks
err2021-08-01
err41
PREAI
errZhang, Fanghai; Huang, Tingwen; Wu, Qiujie; Zeng, Zhigang
err分享
err收藏
学者 查看更多内容