Finite-Time Output Synchronization of Undirected and Directed Coupled Neural Networks With Output Coupling

被引：25
|
作者：
Wang, Qing [1 ]
Wang, Jin-Liang [2 ,3 ]
机构：
[1] Tiangong Univ, Sch Comp Sci & Technol, Tianjin 300387, Peoples R China
[2] Tiangong Univ, Tianjin Key Lab Autonomous Intelligence Technol &, Sch Comp Sci & Technol, Tianjin 300387, Peoples R China
[3] Linyi Univ, Sch Informat Sci & Technol, Linyi 276005, Shandong, Peoples R China
来源：
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS | 2021年 / 32卷 / 05期
基金：
中国国家自然科学基金;
关键词：
Synchronization; Couplings; State feedback; Delays; Adaptive control; Adaptation models; coupled neural networks (CNNs); finite-time output synchronization; output coupling; COMPLEX DYNAMICAL NETWORKS; EXPONENTIAL SYNCHRONIZATION; ROBUST SYNCHRONIZATION; PINNING CONTROL; ARRAY;
D O I：
10.1109/TNNLS.2020.2997195
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This article focuses on the finite-time output synchronization problem for undirected and directed coupled neural networks with output coupling (CNNOC). Based on the designed state feedback controllers and some inequality techniques, we present several finite-time output synchronization criteria for these network models. In addition, two kinds of coupling-weight adjustment strategies are also developed to guarantee the finite-time output synchronization of undirected and directed CNNOC. Finally, two numerical examples are also provided to demonstrate the effectiveness of the theoretical results.
引用
收藏
页码：2117 / 2128
页数：12
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