Pinning event-triggered sampled-data synchronization of coupled reaction-diffusion neural networks

被引：4
作者：
Zhao, Feng-Liang [1 ]
Wang, Zi-Peng [2 ]
Qiao, Junfei [2 ]
Wu, Huai-Ning [3 ]
Huang, Tingwen [4 ]
机构：
[1] Sun Yat Sen Univ, Sch Intelligent Syst Engn, Shenzhen Campus, Shenzhen 518000, Peoples R China
[2] Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
[3] Beihang Univ, Sch Automat Sci & Elect Engn, Sci & Technol Aircraft Control Lab, Beijing, Peoples R China
[4] Texas A&M Univ, Sci Program, College Stn, TX USA
来源：
NEUROCOMPUTING | 2024年 / 599卷
基金：
中国博士后科学基金; 中国国家自然科学基金;
关键词：
Coupled reaction-diffusion neural networks; (CRDNNs); Pinning event-triggered sampled-data (PETSD); control; Synchronization; Spatially point measurements; TIME-VARYING DELAYS; INFINITY OUTPUT SYNCHRONIZATION; SYSTEMS; STABILIZATION; STABILITY; TERMS;
D O I：
10.1016/j.neucom.2024.128028
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, the synchronization problem of coupled reaction-diffusion neural networks (CRDNNs) is considered by using pinning event -triggered sampled -data (PETSD) control method under spatially point measurements. To save the limited transmission channel, a PETSD control mechanism by controlling a small fraction of the nodes is proposed to decrease the update frequency of controller and the unnecessary SD. Then, based on the Lyapunov-Krasovskii functional (LKF) and inequality techniques, sufficient conditions for exponential stability of the synchronization error system presented by linear matrix inequalities (LMIs) can be derived through the designed PETSD controller. Finally, simulation results of one numerical example are presented to demonstrate the effectiveness of the proposed design approach.
引用
收藏
页数：9
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