Robust Fault Reconstruction Design for Nonlinear Interconnected Descriptor Systems: A Distributed Observer Approach.
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| Title: | Robust Fault Reconstruction Design for Nonlinear Interconnected Descriptor Systems: A Distributed Observer Approach. |
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| Authors: | Mu, Yunfei1,2 (AUTHOR) yunfeimu8485@163.com, Wang, Qiancheng1 (AUTHOR), Zhang, Huaguang1 (AUTHOR), Han, Zhijie1 (AUTHOR), Wang, Yingchun1 (AUTHOR) |
| Source: | Optimal Control - Applications & Methods. Sep2025, Vol. 46 Issue 5, p1969-1979. 11p. |
| Subjects: | Nonlinear systems, Descriptor systems, Fault diagnosis, Lipschitz continuity, Computational complexity, Observability (Control theory), Computer simulation, Linear matrix inequalities |
| Abstract: | This article presents a robust distributed fault reconstruction scheme for a kind of nonlinear interconnected descriptor systems with disturbances. The Lipschitz condition is utilized to describe the nonlinearity under investigation. By introducing the coupling item among subsystems into the fault reconstruction design, a brand‐new distributed observer is established, by which multiple types of faults can be effectively estimated, such as time‐varying faults and abrupt faults. It serves as a pioneering attempt for the underlying systems. In terms of linear matrix inequalities (LMIs), sufficient criteria are given to ensure the solvability of the developed distributed observer with the prescribed performance requirement. Significantly, by subtly introducing some slack scalars and matrices, all the observer parameters can be calculated in one step instead of two steps adopted in previous related achievements. Our design, thus, reduces the computational complexity and is more intelligent. Finally, a numerical simulation is given to prove the superiority of the proposed fault reconstruction procedure. [ABSTRACT FROM AUTHOR] |
| Copyright of Optimal Control - Applications & Methods 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: 188068111 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Robust Fault Reconstruction Design for Nonlinear Interconnected Descriptor Systems: A Distributed Observer Approach. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Mu%2C+Yunfei%22">Mu, Yunfei</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> yunfeimu8485@163.com</i><br /><searchLink fieldCode="AR" term="%22Wang%2C+Qiancheng%22">Wang, Qiancheng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Huaguang%22">Zhang, Huaguang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Han%2C+Zhijie%22">Han, Zhijie</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Yingchun%22">Wang, Yingchun</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Optimal+Control+-+Applications+%26+Methods%22">Optimal Control - Applications & Methods</searchLink>. Sep2025, Vol. 46 Issue 5, p1969-1979. 11p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Nonlinear+systems%22">Nonlinear systems</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptor+systems%22">Descriptor systems</searchLink><br /><searchLink fieldCode="DE" term="%22Fault+diagnosis%22">Fault diagnosis</searchLink><br /><searchLink fieldCode="DE" term="%22Lipschitz+continuity%22">Lipschitz continuity</searchLink><br /><searchLink fieldCode="DE" term="%22Computational+complexity%22">Computational complexity</searchLink><br /><searchLink fieldCode="DE" term="%22Observability+%28Control+theory%29%22">Observability (Control theory)</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Linear+matrix+inequalities%22">Linear matrix inequalities</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This article presents a robust distributed fault reconstruction scheme for a kind of nonlinear interconnected descriptor systems with disturbances. The Lipschitz condition is utilized to describe the nonlinearity under investigation. By introducing the coupling item among subsystems into the fault reconstruction design, a brand‐new distributed observer is established, by which multiple types of faults can be effectively estimated, such as time‐varying faults and abrupt faults. It serves as a pioneering attempt for the underlying systems. In terms of linear matrix inequalities (LMIs), sufficient criteria are given to ensure the solvability of the developed distributed observer with the prescribed performance requirement. Significantly, by subtly introducing some slack scalars and matrices, all the observer parameters can be calculated in one step instead of two steps adopted in previous related achievements. Our design, thus, reduces the computational complexity and is more intelligent. Finally, a numerical simulation is given to prove the superiority of the proposed fault reconstruction procedure. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Optimal Control - Applications & Methods 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/oca.3302 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 1969 Subjects: – SubjectFull: Nonlinear systems Type: general – SubjectFull: Descriptor systems Type: general – SubjectFull: Fault diagnosis Type: general – SubjectFull: Lipschitz continuity Type: general – SubjectFull: Computational complexity Type: general – SubjectFull: Observability (Control theory) Type: general – SubjectFull: Computer simulation Type: general – SubjectFull: Linear matrix inequalities Type: general Titles: – TitleFull: Robust Fault Reconstruction Design for Nonlinear Interconnected Descriptor Systems: A Distributed Observer Approach. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mu, Yunfei – PersonEntity: Name: NameFull: Wang, Qiancheng – PersonEntity: Name: NameFull: Zhang, Huaguang – PersonEntity: Name: NameFull: Han, Zhijie – PersonEntity: Name: NameFull: Wang, Yingchun IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 01432087 Numbering: – Type: volume Value: 46 – Type: issue Value: 5 Titles: – TitleFull: Optimal Control - Applications & Methods Type: main |
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