The characteristics method to study global exponential stability of delayed inertial neural networks

被引：0

作者：

Wang, Wentao ^{[1
]}

Wu, Jihui ^{[1
]}

Chen, Wei ^{[2
]}

机构：

[1] Shanghai Univ Engn Sci, Sch Math Phys & Stat, Shanghai 201620, Peoples R China

[2] Shanghai Lixin Univ Accounting & Finance, Sch Stat & Math, Shanghai 201209, Peoples R China

来源：

MATHEMATICS AND COMPUTERS IN SIMULATION | 2025年 / 232卷

关键词：

Inertial neural networks; Global exponential stability; Delay; Characteristics method; Decay and delay-dependent; Decay and delay-independent; SYNCHRONIZATION; DYNAMICS; CHAOS; MODEL;

D O I：

10.1016/j.matcom.2024.12.021

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In this paper, we address the issue of global exponential stability for a class of delayed inertial neural networks (DINNs). Employing the characteristics method, we derive several sufficient conditions, which are both decay and delay-dependent as well as decay and delay-independent, to guarantee the global exponential stability of the given neural networks. Lastly, we present three numerical examples to highlight the advantages of our novel results.

引用

页码：91 / 101

页数：11

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