A Unified Synchronization Criterion for Reaction-Diffusion Neural Networks with Time-Varying Impulsive Delays and System Delay

被引：3
作者：
Cui, Qian [1 ]
Li, Lulu [1 ]
Huang, Wei [1 ]
机构：
[1] Hefei Univ Technol, Sch Math, Hefei 230009, Peoples R China
来源：
NEURAL PROCESSING LETTERS | 2023年 / 55卷 / 03期
基金：
中国国家自然科学基金;
关键词：
Synchronization; Reaction-diffusion; Delayed neural networks; Delayed impulses; EXPONENTIAL STABILITY;
D O I：
10.1007/s11063-022-10994-4
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The paper mainly focuses on the synchronization of the coupled delayed reaction-diffusion neural networks (CDRDNNs) with delayed impulses. Firstly, the synchronization of CDRDNNs is studied by the direct error method instead of weighted average method. Then, a strict comparison principle is derived to solve the synchronization of the systems with delayed impulses. Combined with this comparison principle and the average impulsive delay (AID) method, some sufficient conditions of CDRDNNs are proposed. In addition, the sufficient criteria suggest that the impulsive delay could play a positive role for synchronization of CDRDNNs to a certain extent. Finally, two examples are provided to illustrate the validity of our established results.
引用
收藏
页码：2989 / 3006
页数：18
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