Almost periodic dynamical behaviors of neutral-type neural networks with discontinuous activations and mixed delays

被引：0

作者：

Qiu, Hongjun ^{[1
]}

Zhang, Yanhong ^{[1
]}

Xu, Chengfeng ^{[1
]}

Kong, Fanchao ^{[2
]}

机构：

[1] Jiujiang Univ, Coll Sci, Jiujiang 332005, Jiangxi, Peoples R China

[2] Anhui Normal Univ, Sch Math & Stat, Wuhu 241000, Anhui, Peoples R China

来源：

FILOMAT | 2023年 / 37卷 / 18期

基金：

中国国家自然科学基金;

关键词：

Almost periodic solution; Discontinuous activations; Mixed delays; Global exponential stability; GLOBAL EXPONENTIAL STABILITY; EXISTENCE; CONVERGENCE;

D O I：

10.2298/FIL2318089Q

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

This paper presents a class of neutral-type neural networks with discontinuous activations and mixed delays. By using differential inclusions theory, the non-smooth analysis theory with Lyapunov-like approach, some new sufficient criteria are given to ascertain the existence, uniqueness and globally exponential stability of the almost periodic solution for the addressed neural network system. Some recent results in the literature are generalized and improved. Finally, simulation results of two topical numerical examples are also delineated to demonstrate the effectiveness of our theoretical results.

引用

页码：6089 / 6114

页数：26

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