SYNCHRONIZATION FOR A CLASS OF COMPLEX-VALUED MEMRISTOR-BASED COMPETITIVE NEURAL NETWORKS(CMCNNS) WITH DIFFERENT TIME SCALES

被引：3
|
作者：
Zhao, Yong [1 ]
Ren, Shanshan [2 ]
机构：
[1] Guangdong Polytech Normal Univ, Sch Math & Syst Sci, Guangzhou 510665, Peoples R China
[2] Henan Polytech Univ, Sch Math & Informat Sci, Jiaozuo 454000, Henan, Peoples R China
来源：
ELECTRONIC RESEARCH ARCHIVE | 2021年 / 29卷 / 05期
基金：
中国国家自然科学基金;
关键词：
  Memristor; complex-valued memristive competitive neural networks; Lyapunov functional; synchronization; different time scales; EXPONENTIAL STABILITY;
D O I：
10.3934/era.2021041
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
In this paper, the synchronization problem of complex-valued memristive competitive neural networks(CMCNNs) with different time scales is investigated. Based on differential inclusions and inequality techniques, some novel sufficient conditions are derived to ensure synchronization of the drive response systems by designing a proper controller. Finally, a numerical example is provided to illustrate the usefulness and feasibility of our results.
引用
收藏
页码：3323 / 3340
页数：18
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