A Novel Fast Fixed-Time Control Strategy and Its Application to Fixed-Time Synchronization Control of Delayed Neural Networks

被引：16

作者：

Wang, Xin ^{[1
]}

Cao, Jinde ^{[2
,3
]}

Wang, Jiangtao ^{[1
]}

Qi, Jinshan ^{[1
]}

Sun, Qingying ^{[1
]}

机构：

[1] Huaiyin Normal Univ, Sch Comp Sci & Technol, Huaian 223300, Jiangsu, Peoples R China

[2] Southeast Univ, Sch Math, Nanjing 21099, Peoples R China

[3] Yonsei Univ, Yonsei Frontier Lab, Seoul 03722, South Korea

来源：

NEURAL PROCESSING LETTERS | 2022年 / 54卷 / 01期

基金：

中国国家自然科学基金;

关键词：

Delayed Cohen-Grossberg neural networks; Semi-Markov jump; Fixed-time control strategy; Fixed-time synchronization control; Fixed settling time; CONSENSUS CONTROL; ADAPTIVE SYNCHRONIZATION; MULTIAGENT SYSTEMS; COUPLED NETWORKS; STABILITY; FEEDBACK; STABILIZATION; PASSIVITY; STORAGE; DESIGN;

D O I：

10.1007/s11063-021-10624-5

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we emphasize on a novel fast fixed-time control strategy and its application to fixed-time synchronization control of semi-Markov jump delayed Cohen-Grossberg neural networks (SMJDCGNNs). First, we consider a class of SMJDCGNNs. Second, a novel fast fixed-time control strategy is proposed and designed to control the considered delayed system to achieve global synchronization within the derived fixed settling time. Third, the advantages of the derived theoretical results are discussed. Finally, we give a numerical example to show the effectiveness and feasibility of the obtained theoretical results.

引用

页码：145 / 164

页数：20

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