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 (846.5 KB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Review Article | Open Access

Essay on robust prescribed-time stabilization

Scientific Research and Advanced Studies Center of Ensenada, Ensenada, 22870, Mexico
Institute of Control Sciences of the Russian Academy of Sciences, Moscow, 117997, Russia

Peer review under responsibility of Chongqing University.

Show Author Information

Abstract

As well-known, prescribed-time stabilizing design faces the need of using time-varying high gains which escape to infinity as time approaches the desired instant. In the presence of measurement noise, the corresponding state response is also significantly amplified that leads to the lack of robustness in the closed-loop implementation. In order to eliminate this drawback, the implicit Euler discretization of the closed-loop in question is recently developed in where desired robustness properties are conserved beyond the prescribed-time interval while also bounded state dynamics are ensured in the presence of measurement noise. Along this line, stabilizing prescribed-observer-based output feedback algorithms and their digital implementation are reviewed. For tutorial value, the underlying state feedback and observer designs are recalled side by side in continuous- and discrete-time perspectives, followed by the desired output feedback design. Open problems, calling for future investigation, conclude the review.

Electronic Supplementary Material

Download File(s)
jai-5-1-57_ESM.pdf (182.3 KB)

References

【1】
【1】
 
 
Journal of Automation and Intelligence
Pages 57-68

{{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:
Orlov Y. Essay on robust prescribed-time stabilization. Journal of Automation and Intelligence, 2026, 5(1): 57-68. https://doi.org/10.1016/j.jai.2025.09.004

300

Views

0

Downloads

0

Crossref

0

Scopus

Received: 06 June 2025
Revised: 22 September 2025
Accepted: 28 September 2025
Published: 06 October 2025
© 2025 The Authors.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).