Robust output regulation for continuous‐time linear time‐invariant systems with dynamic controllers: A data‐driven approach.
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| Title: | Robust output regulation for continuous‐time linear time‐invariant systems with dynamic controllers: A data‐driven approach. |
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| Authors: | Ren, Peng1 (AUTHOR), Hao, Yuqing1 (AUTHOR) haoyq@buaa.edu.cn, Sun, Zhiyong2 (AUTHOR), Wang, Qingyun1 (AUTHOR), Xu, Tao3,4 (AUTHOR) |
| Source: | Asian Journal of Control. Mar2026, Vol. 28 Issue 2, p859-873. 15p. |
| Subjects: | Continuous time systems, Linear time invariant systems, Numerical analysis, Robust control, Control theory (Engineering), Tracking control systems |
| Abstract: | This paper investigates the robust output regulation problem of continuous‐time systems using the data‐driven approach. Compared with the most existing literature, which focuses on discrete‐time linear time‐invariant (LTI) systems, this paper considers the unknown continuous‐time endosystems and exosystems. Some necessary and sufficient conditions are proposed to ensure that the data can solve the robust output regulation problem under the persistency of excitation condition. When the persistency of excitation condition is not satisfied, new conditions within the data informativity framework are provided. Moreover, a data‐driven dynamic controller is designed. Finally, the effectiveness of the method is verified through some numerical simulations. [ABSTRACT FROM AUTHOR] |
| Copyright of Asian Journal of Control is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 192204760 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Robust output regulation for continuous‐time linear time‐invariant systems with dynamic controllers: A data‐driven approach. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ren%2C+Peng%22">Ren, Peng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hao%2C+Yuqing%22">Hao, Yuqing</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> haoyq@buaa.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Sun%2C+Zhiyong%22">Sun, Zhiyong</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Qingyun%22">Wang, Qingyun</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Xu%2C+Tao%22">Xu, Tao</searchLink><relatesTo>3,4</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Asian+Journal+of+Control%22">Asian Journal of Control</searchLink>. Mar2026, Vol. 28 Issue 2, p859-873. 15p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Continuous+time+systems%22">Continuous time systems</searchLink><br /><searchLink fieldCode="DE" term="%22Linear+time+invariant+systems%22">Linear time invariant systems</searchLink><br /><searchLink fieldCode="DE" term="%22Numerical+analysis%22">Numerical analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Robust+control%22">Robust control</searchLink><br /><searchLink fieldCode="DE" term="%22Control+theory+%28Engineering%29%22">Control theory (Engineering)</searchLink><br /><searchLink fieldCode="DE" term="%22Tracking+control+systems%22">Tracking control systems</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This paper investigates the robust output regulation problem of continuous‐time systems using the data‐driven approach. Compared with the most existing literature, which focuses on discrete‐time linear time‐invariant (LTI) systems, this paper considers the unknown continuous‐time endosystems and exosystems. Some necessary and sufficient conditions are proposed to ensure that the data can solve the robust output regulation problem under the persistency of excitation condition. When the persistency of excitation condition is not satisfied, new conditions within the data informativity framework are provided. Moreover, a data‐driven dynamic controller is designed. Finally, the effectiveness of the method is verified through some numerical simulations. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Asian Journal of Control is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/asjc.3696 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 859 Subjects: – SubjectFull: Continuous time systems Type: general – SubjectFull: Linear time invariant systems Type: general – SubjectFull: Numerical analysis Type: general – SubjectFull: Robust control Type: general – SubjectFull: Control theory (Engineering) Type: general – SubjectFull: Tracking control systems Type: general Titles: – TitleFull: Robust output regulation for continuous‐time linear time‐invariant systems with dynamic controllers: A data‐driven approach. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ren, Peng – PersonEntity: Name: NameFull: Hao, Yuqing – PersonEntity: Name: NameFull: Sun, Zhiyong – PersonEntity: Name: NameFull: Wang, Qingyun – PersonEntity: Name: NameFull: Xu, Tao IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 15618625 Numbering: – Type: volume Value: 28 – Type: issue Value: 2 Titles: – TitleFull: Asian Journal of Control Type: main |
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