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

被引：0
|
作者：
Xin Wang
Jinde Cao
Jiangtao Wang
Jinshan Qi
Qingying Sun
机构：
[1] Huaiyin Normal University,School of Computer Science and Technology
[2] Southeast University,School of Mathematics
[3] Yonsei University,Yonsei Frontier Lab
来源：
Neural Processing Letters | 2022年 / 54卷
关键词：
Delayed Cohen-Grossberg neural networks; Semi-Markov jump; Fixed-time control strategy; Fixed-time synchronization control; Fixed settling time;
D O I：
暂无
中图分类号：
学科分类号：
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.
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收藏
页码：145 / 164
页数：19
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