Passivity and Synchronization of Coupled Uncertain Reaction-Diffusion Neural Networks With Multiple Time Delays

被引：76
作者：
Wang, Jin-Liang [1 ,2 ,3 ]
Qin, Zhen [1 ]
Wu, Huai-Ning [4 ]
Huang, Tingwen [5 ]
机构：
[1] Tianjin Polytech Univ, Sch Comp Sci & Technol, Tianjin 300387, Peoples R China
[2] Tianjin Polytech Univ, Tianjin Key Lab Autonomous Intelligence Technol &, Tianjin 300387, Peoples R China
[3] Linyi Univ, Sch Automat & Elect Engn, Linyi 276005, Shandong, Peoples R China
[4] Beihang Univ, Sch Automat Sci & Elect Engn, Sci & Technol Aircraft Control Lab, Beijing 100191, Peoples R China
[5] Texas A&M Univ Qatar, Doha 23874, Qatar
来源：
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS | 2019年 / 30卷 / 08期
基金：
中国国家自然科学基金;
关键词：
Adaptive control; coupled reaction-diffusion neural networks (CRDNNs); multiple time delays; passivity synchronization; COMPLEX DYNAMICAL NETWORKS; PINNING CONTROL; ROBUST SYNCHRONIZATION; ADAPTIVE-CONTROL; SYSTEMS; TERMS; STRATEGIES; STABILITY; ARRAY;
D O I：
10.1109/TNNLS.2018.2884954
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a complex network model consisting of N uncertain reaction-diffusion neural networks with multiple time delays. We analyze the passivity and synchronization of the proposed network model and derive several passivity and synchronization criteria based on some inequality techniques. In addition, by considering the difficulty in achieving passivity (synchronization) in such a network, an adaptive control scheme is also developed to ensure that the proposed network achieves passivity (synchronization). Finally, we design two numerical examples to verify the effectiveness of the derived passivity and synchronization criteria.
引用
收藏
页码：2434 / 2448
页数：15
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