Finite-Time Passivity and Synchronization of Coupled Reaction-Diffusion Neural Networks With Multiple Weights

被引：104
|
作者：
Wang, Jin-Liang [1 ,2 ]
Zhang, Xiao-Xiao [1 ]
Wu, Huai-Ning [3 ]
Huang, Tingwen [4 ]
Wang, Qing [1 ]
机构：
[1] Tianjin Polytech Univ, Sch Comp Sci & Software Engn, Tianjin 300387, Peoples R China
[2] Tianjin Polytech Univ, Tianjin Key Lab Optoelect Detect Technol & Sys, Tianjin 300387, Peoples R China
[3] Beihang Univ, Sch Automat Sci & Elect Engn, Sci & Technol Aircraft Control Lab, Beijing 100191, Peoples R China
[4] Texas A&M Univ Qatar, Doha, Qatar
来源：
IEEE TRANSACTIONS ON CYBERNETICS | 2019年 / 49卷 / 09期
基金：
中国国家自然科学基金;
关键词：
Coupled reaction-diffusion neural networks (CRDNNs); finite-time passivity (FTP); finite-time synchronization (FTS); multiple weights; PARTIAL-DIFFERENTIAL SYSTEMS; H-INFINITY SYNCHRONIZATION; DELAYED DYNAMICAL NETWORKS; COMPLEX NETWORKS; ROBUST SYNCHRONIZATION; STRATEGIES; STABILITY; TERMS; ARRAY;
D O I：
10.1109/TCYB.2018.2842437
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, two multiple weighted coupled reaction-diffusion neural networks (CRDNNs) with and without coupling delays are introduced. On the one hand, some finite-time passivity (FTP) concepts are proposed for the spatially and temporally system with different dimensions of output and input. By choosing appropriate Lyapunov functionals and controllers, several sufficient conditions are presented to ensure the FTP of these CRDNNs. On the other hand, the finite-time synchronization (FTS) problem is also discussed for the multiple weighted CRDNNs with and without coupling delays, respectively. Finally, two numeral examples with simulation results are provided to verify the effectiveness of the obtained FTP and FTS criteria.
引用
收藏
页码：3385 / 3397
页数：13
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