Anti-periodic oscillations in fuzzy cellular neural networks with time-varying delays

被引：8

作者：

Xu, Changjin ^{[1
]}

机构：

[1] Guizhou Univ Finance & Econ, Guizhou Key Lab Econ Syst Simulat, Guiyang 550004, Guizhou, Peoples R China

来源：

JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE | 2019年 / 31卷 / 04期

基金：

中国国家自然科学基金;

关键词：

Fuzzy cellular neural networks; anti-periodic solution; exponential stability; time-varying delay; ALMOST-PERIODIC SOLUTIONS; GLOBAL EXPONENTIAL STABILITY; ASYMPTOTIC STABILITY; LEAKAGE; EXISTENCE; SYSTEMS; DISCRETE; DESIGN;

D O I：

10.1080/0952813X.2019.1591524

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This article mainly studies delayed fuzzy cellular neural networks. A sufficient criterion to guarantee the existence and exponential stability of anti-periodic solutions for this system is given. An example is given to support the obtained theoretical analysis. The obtained results play an important role in designing the neural networks and complement the earlier publications.

引用

页码：621 / 635

页数：15

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