AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (322.3 KB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Open Access

Master-slave synchronization of Lurie systems with time-delay based on event-triggered control

Chao Ma, Tianbo Wang( ), Wenjie You
School of Mathematics, Physics and Statistics, Shanghai University of Engineering Science, Shanghai 201620, China
Show Author Information

Abstract

This paper investigates the master-slave synchronization of Lurie systems with time delay via the event-triggered control. Different from some state feedback control methods with a fixed sampling period or impulsive control with random sampling moments, the event-triggered control means that the controller is updated only if some event-triggering conditions are satisfied. A predefined triggering condition is provided by using the Lyapunov stability theory. Moreover, this condition is proved not to be commonplace. Finally, a numerical example is given to show the correctness of the proposed method.

CLC number: 34D20

References

【1】
【1】
 
 
AIMS Mathematics
Pages 5998-6008

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Ma C, Wang T, You W. Master-slave synchronization of Lurie systems with time-delay based on event-triggered control. AIMS Mathematics, 2023, 8(3): 5998-6008. https://doi.org/10.3934/math.2023302

291

Views

10

Downloads

2

Crossref

2

Web of Science

2

Scopus

Received: 11 September 2022
Revised: 25 October 2022
Accepted: 27 October 2022
Published: 15 March 2023
©2023 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)