Adaptive Synchronization for Inertial Cohen-Grossberg Neural Networks with Distributed Delays

被引：0

作者：

Wang, Yanyan ^{[1
]}

Yan, Zhilian ^{[2
]}

机构：

[1] Anhui Univ Technol, Sch Microelect & Data Sci, Maanshan 243032, Peoples R China

[2] Anhui Univ Technol, Sch Elect & Informat Engn, Maanshan 243032, Peoples R China

来源：

ENGINEERING LETTERS | 2023年 / 31卷 / 04期

关键词：

distributed delay; inertial neural network; Cohen-Grossberg network; synchronization; PERIODIC-SOLUTIONS; GLOBAL STABILITY; MULTISTABILITY;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The paper discusses adaptive synchronization for inertial Cohen-Grossberg neural networks (ICGNNs) with distributed delays. The ICGNN is changed into a first-order differential equation model by making use of a variable substitution method. A criterion is proposed to guarantee the adaptive synchronization of the drive-response ICGNNs by means of an appropriate Lyapunov functional and the LaSalle invariant principle. A concrete example is offered to illustrate the validity of the obtained results.

引用

页码：1486 / 1491

页数：6

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