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
收藏
页码：1486 / 1491
页数：6
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