Synchronization of memristor-based complex-valued neural networks with time-varying delays

被引：0
|
作者：
Yanzhao Cheng
Yanchao Shi
机构：
[1] Southwest Petroleum University,School of Science
来源：
Computational and Applied Mathematics | 2022年 / 41卷
关键词：
Global asymptotic synchronization; Quasi-synchronous; Complex-valued; memristor; Neural networks; 34D06; 34H05;
D O I：
暂无
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学科分类号：
摘要：
In this paper, the quasi-synchronization and global asymptotic synchronization of memristor-based complex-valued neural networks with time-varying delays are studied respectively. Two suitable controllers are designed to achieve the control objective. To get the corresponding conclusion, the method of vector ordering is employed, which can be used to compare the size of two different complex numbers, as a result, the closed convex hull derived by the complex-valued connections can be derived. Finally, the effectiveness of the proposed method is verified by two simulation examples.
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