Finite-Time Passivity of Adaptive Coupled Neural Networks With Undirected and Directed Topologies

被引：41

作者：

Wang, Jin-Liang ^{[1
,2
,3
]}

Zhang, Xiao-Xiao ^{[1
]}

Wu, Huai-Ning ^{[4
]}

Huang, Tingwen ^{[5
]}

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 & Syst, 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, Sci Program, Doha, Qatar

来源：

IEEE TRANSACTIONS ON CYBERNETICS | 2020年 / 50卷 / 05期

基金：

中国国家自然科学基金;

关键词：

Synchronization; Artificial neural networks; Couplings; Network topology; Topology; Adaptation models; Adaptive systems; Adaptive coupling weights; coupled neural networks (CNNs); finite-time passivity (FTP); finite-time synchronization (FTS); ROBUST SYNCHRONIZATION; PINNING CONTROL;

D O I：

10.1109/TCYB.2018.2882252

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, the finite-time passivity (FTP) problem for two classes of coupled neural networks (CNNs) with adaptive coupling weights is discussed. By selecting appropriate adaptive laws and controllers, several FTP conditions are given for CNNs with undirected and directed topologies. Furthermore, some finite-time synchronization conditions are also established by employing the FTP of the CNNs. At last, two numeral examples are used to check the correctness of the obtained criteria.

引用

页码：2014 / 2025

页数：12

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