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 (286 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

Global attractivity for uncertain differential systems

Nana Tao1( )Chunxiao Ding2
School of Information Engineering, Kaifeng University, Kaifeng, 475004, Henan, China
School of Mathematical Sciences, Liaocheng University, Liaocheng, 252059, Shandong, China
Show Author Information

Abstract

This paper studies global attractivity for uncertain differential systems, which are effective tools to solve the problems with uncertainty. And They have been applied in many areas. This article presents several global attractivity concepts. Based on the knowledge of uncertainty theory, some sufficient conditions of global attractivity for linear uncertain differential systems are given. In particular, the attractivity on the solutions and α-path of uncertain differential systems is studied. Last, as an application of attractivity, an interest rate model with uncertainty is shown.

CLC number: 34D45, 37C75

References

【1】
【1】
 
 
AIMS Mathematics
Pages 2142-2159

{{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:
Tao N, Ding C. Global attractivity for uncertain differential systems. AIMS Mathematics, 2022, 7(2): 2142-2159. https://doi.org/10.3934/math.2022122

0

Views

0

Downloads

0

Crossref

0

Web of Science

0

Scopus

Received: 21 August 2021
Accepted: 19 October 2021
Published: 15 February 2022
©2022 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)