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 (245.8 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

Stabilization of stochastic systems driven by G-Lévy process via discrete-time feedback control

Guanghua Wei1( )Bingjun Wang1,2( )Mingxia Yuan3
Jinling Institute of Technology, Nanjing, 211169, China
Jiangsu Key Lab for NSLSCS, Nanjing Normal University, Nanjing, 210023, China
Nanjing Vocational Institute of Transport Technology, Nanjing, 211188, China
Show Author Information

Abstract

In this paper, we establish sufficient conditions for the mean square and quasi-sure exponential stability of stochastic differential equations driven by the G-Lévy process under discrete-time feedback control in the drift term. Departing from the conventional Lyapunov-based approach, we propose a comparative method to analyze the stabilization effect of the designed control. An example validates the effectiveness of the proposed control strategy.

CLC number: 60H05, 60H10, 60H20

References

【1】
【1】
 
 
AIMS Mathematics
Pages 29151-29167

{{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:
Wei G, Wang B, Yuan M. Stabilization of stochastic systems driven by G-Lévy process via discrete-time feedback control. AIMS Mathematics, 2025, 10(12): 29151-29167. https://doi.org/10.3934/math.20251282

90

Views

1

Downloads

0

Crossref

0

Web of Science

0

Scopus

Received: 09 September 2025
Revised: 16 November 2025
Accepted: 03 December 2025
Published: 11 December 2025
©2025 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)