Academic Journal
Lyapunov-based MPC for uncertain nonlinear systems with delayed measurements using recurrent multi-dimensional Taylor network.
| Τίτλος: | Lyapunov-based MPC for uncertain nonlinear systems with delayed measurements using recurrent multi-dimensional Taylor network. |
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| Συγγραφείς: | Yan, Hong-Sen, Zheng, Xiao-Yi |
| Πηγή: | International Journal of Control; May2026, Vol. 99 Issue 5, p1523-1544, 22p |
| Θεματικοί όροι: | Closed loop system stability, Predictive control systems, Chemical process control, Nonlinear control theory, Uncertain systems |
| Περίληψη: | For nonlinear systems with measurement delays and uncertain disturbances, most of the existing control methods are not effective enough to determine a priori initial condition set for the desirable closed-loop stability of the controller, and especially some of them cannot be applied directly to this control problem. Within this context, a Lyapunov-based model predictive control (LMPC) approach is proposed here to ensure the stability of the closed-loop system. The time-varying measurement delay is modelled in the framework of the LMPC scheme by setting appropriate constraints for uncertain nonlinear systems with time-varying measurement delays. And the recurrent multi-dimensional Taylor network (RMTN) model is developed to predict future states. RMTN, being of simple structure and high efficiency, is intended to match continuous system dynamics. The proposed predictive controller allows the stability region to be shaped using the system parameters. And the Lyapunov-based controller is introduced to formulate the optimisation problem. The LMPC scheme using the RMTN model is theoretically proven to be capable of keeping the state of the closed-loop system in the stable region in the presence of time-varying measurement delay, uncertain disturbance, and modelling error. The effectiveness of the proposed approach is verified by a chemical process. [ABSTRACT FROM AUTHOR] |
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| Βάση Δεδομένων: | Complementary Index |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://resolver.ebsco.com/c/fiv2js/result?sid=EBSCO:edb&genre=article&issn=00207179&ISBN=&volume=99&issue=5&date=20260501&spage=1523&pages=1523-1544&title=International Journal of Control&atitle=Lyapunov-based%20MPC%20for%20uncertain%20nonlinear%20systems%20with%20delayed%20measurements%20using%20recurrent%20multi-dimensional%20Taylor%20network.&aulast=Yan%2C%20Hong-Sen&id=DOI:10.1080/00207179.2025.2592700 Name: Full Text Finder (for New FTF UI) (ns324271) Category: fullText Text: Full Text Finder MouseOverText: Full Text Finder |
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| Header | DbId: edb DbLabel: Complementary Index An: 193710082 RelevancyScore: 1061 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 1060.76245117188 |
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| Items | – Name: Title Label: Title Group: Ti Data: Lyapunov-based MPC for uncertain nonlinear systems with delayed measurements using recurrent multi-dimensional Taylor network. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Yan%2C+Hong-Sen%22">Yan, Hong-Sen</searchLink><br /><searchLink fieldCode="AR" term="%22Zheng%2C+Xiao-Yi%22">Zheng, Xiao-Yi</searchLink> – Name: TitleSource Label: Source Group: Src Data: International Journal of Control; May2026, Vol. 99 Issue 5, p1523-1544, 22p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Closed+loop+system+stability%22">Closed loop system stability</searchLink><br /><searchLink fieldCode="DE" term="%22Predictive+control+systems%22">Predictive control systems</searchLink><br /><searchLink fieldCode="DE" term="%22Chemical+process+control%22">Chemical process control</searchLink><br /><searchLink fieldCode="DE" term="%22Nonlinear+control+theory%22">Nonlinear control theory</searchLink><br /><searchLink fieldCode="DE" term="%22Uncertain+systems%22">Uncertain systems</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: For nonlinear systems with measurement delays and uncertain disturbances, most of the existing control methods are not effective enough to determine a priori initial condition set for the desirable closed-loop stability of the controller, and especially some of them cannot be applied directly to this control problem. Within this context, a Lyapunov-based model predictive control (LMPC) approach is proposed here to ensure the stability of the closed-loop system. The time-varying measurement delay is modelled in the framework of the LMPC scheme by setting appropriate constraints for uncertain nonlinear systems with time-varying measurement delays. And the recurrent multi-dimensional Taylor network (RMTN) model is developed to predict future states. RMTN, being of simple structure and high efficiency, is intended to match continuous system dynamics. The proposed predictive controller allows the stability region to be shaped using the system parameters. And the Lyapunov-based controller is introduced to formulate the optimisation problem. The LMPC scheme using the RMTN model is theoretically proven to be capable of keeping the state of the closed-loop system in the stable region in the presence of time-varying measurement delay, uncertain disturbance, and modelling error. The effectiveness of the proposed approach is verified by a chemical process. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of International Journal of Control is the property of Taylor & Francis Ltd 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: 10.1080/00207179.2025.2592700 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 22 StartPage: 1523 Subjects: – SubjectFull: Closed loop system stability Type: general – SubjectFull: Predictive control systems Type: general – SubjectFull: Chemical process control Type: general – SubjectFull: Nonlinear control theory Type: general – SubjectFull: Uncertain systems Type: general Titles: – TitleFull: Lyapunov-based MPC for uncertain nonlinear systems with delayed measurements using recurrent multi-dimensional Taylor network. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yan, Hong-Sen – PersonEntity: Name: NameFull: Zheng, Xiao-Yi IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 00207179 Numbering: – Type: volume Value: 99 – Type: issue Value: 5 Titles: – TitleFull: International Journal of Control Type: main |
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