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 (607.6 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

An error estimator for spectral method approximation of flow control with state constraint

Fenglin Huang1( )Yanping Chen2Tingting Lin1
School of Mathematics and Statistics, Xinyang Normal University, No.237 Nanhu Road, Shihe District, Xinyang 464000, China
School of Mathematical Sciences, South China Normal University, Guangzhou 510631, China
Show Author Information

Abstract

We consider the spectral approximation of flow optimal control problems with state constraint. The main contribution of this work is to derive an a posteriori error estimator, and show the upper and lower bounds for the approximation error. Numerical experiment shows the efficiency of the error indicator, which will be used to construct reliable adaptive hp spectral element approximation for flow control in the future work.

References

【1】
【1】
 
 
Electronic Research Archive
Pages 3193-3210

{{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:
Huang F, Chen Y, Lin T. An error estimator for spectral method approximation of flow control with state constraint. Electronic Research Archive, 2022, 30(9): 3193-3210. https://doi.org/10.3934/era.2022162

18

Views

1

Downloads

0

Crossref

0

Web of Science

0

Scopus

Received: 07 March 2022
Revised: 17 May 2022
Accepted: 18 May 2022
Published: 15 September 2022
©2022 the Author(s), licensee AIMS Press.

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