Passivity of Reaction-Diffusion Neural Networks Via Sampled-Data Control

被引：0
|
作者：
Wang, Zi-Peng [1 ]
Wu, Huai-Ning [2 ]
Chen, Wu-Hua [3 ]
Wang, Jin-Liang [4 ]
机构：
[1] Univ Jinan, Sch Elect Engn, Jinan 250022, Peoples R China
[2] Beihang Univ, Sch Automat Sci & Elect Engn, Sci & Technol Aircraft Control Lab, Beijing 100191, Peoples R China
[3] Guangxi Univ, Coll Math & Informat Sci, Nanning 530004, Peoples R China
[4] Tianjin Polytech Univ, Sch Comp Sci & Software Engn, Tianjin 300387, Peoples R China
来源：
2019 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI 2019) | 2019年
关键词：
passivity; sampled-data control; reaction-diffusion neural networks; linear matrix inequalities; DATA FUZZY CONTROL; TIME-VARYING DELAYS; H-INFINITY CONTROL; ASYMPTOTIC STABILITY; SYNCHRONIZATION; CRITERIA; SYSTEMS;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A sampled-data (SD) control is introduced for passivity of reaction-diffusion neural networks (RDNNs). With an appropriate Lyapunov functional (LF), a SD control design is developed based on linear matrix inequalities to guarantee the passivity of closed-loop RDNNs. Lastly, we provide a numerical example to support the presented method.
引用
收藏
页码：2160 / 2165
页数：6
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