Chaotic Lag Synchronization of a Class of Inertial Neural Networks with Unbounded Distributed Delays

被引：0

作者：

Long, Chanqing ^{[1
]}

Zhang, Guodong ^{[1
]}

机构：

[1] South Cent Univ Nationalities, Sch Math & Stat, Wuhan 430074, Peoples R China

来源：

PROCEEDINGS OF THE 32ND 2020 CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2020) | 2020年

基金：

美国国家科学基金会;

关键词：

Lag synchronization; Inertial neural networks; Unbounded distributed delays; Lyapunov stability theory; MIXED TIME-DELAYS; EXPONENTIAL STABILITY; FINITE-TIME;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This article investigates the chaotic exponential lag synchronization of a class of inertial neural networks (INNs) with unbounded distributed delays. Firstly, the second-order INNs is transformed into the first-order differential equation through a suitable variable transformation. Secondly, the sufficient exponential lag synchronization conditions are established for INNs with unbounded distributed delays via the feedback control theory and Lyapunov stability theory. At last, the feasibility of the derived results are illustrated by numerical examples.

引用

页码：5386 / 5391

页数：6