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Article: A Polynomial-Based Approach of Reachable Set Estimation for Periodic Time-Varying Systems

TitleA Polynomial-Based Approach of Reachable Set Estimation for Periodic Time-Varying Systems
Authors
KeywordsMatrix polynomial
multi-affine polynomial
periodic time-varying systems
reachable set estimation
Issue Date1-Jan-2025
PublisherInstitute of Electrical and Electronics Engineers
Citation
IEEE Transactions on Automatic Control, 2025, v. 70, n. 9, p. 6167-6174 How to Cite?
Abstract

This article is focused on estimating reachable sets for periodic time-varying systems, whose dynamics are represented by trigonometric series through Fourier theory. Given the difficulty of dealing with coupled time-varying coefficients in reachable set estimation, a constructive polynomial-based approach is utilized to transform time-varying non-convex constraints into constant vertex constraints through the property of multi-affine matrix polynomials. Based on that, when the decay rate parameters for Lyapunov functions are known, the reachable set bounding region can be determined by solving vertex constraints in linear matrix inequality (LMI) forms. In cases where the decay rates are unknown, a Simulated Annealing (SA) algorithm and a Boundary Intersection (BI) algorithm are proposed to provide a tractable solution for parameter searching, and to achieve lower conservatism in the reachable set bounding regions. The effectiveness of our polynomial-based approach is illustrated through simulations using a single-mesh gear system. Moreover, the efficiency of the two algorithms can be assessed by contrasting the conservatism reduced in measurements of bounding regions.


Persistent Identifierhttp://hdl.handle.net/10722/360837
ISSN
2023 Impact Factor: 6.2
2023 SCImago Journal Rankings: 4.501

 

DC FieldValueLanguage
dc.contributor.authorLing, Zhaoji-
dc.contributor.authorXie, Xiaochen-
dc.contributor.authorLam, James-
dc.contributor.authorKwok, Ka Wai-
dc.date.accessioned2025-09-16T00:30:49Z-
dc.date.available2025-09-16T00:30:49Z-
dc.date.issued2025-01-01-
dc.identifier.citationIEEE Transactions on Automatic Control, 2025, v. 70, n. 9, p. 6167-6174-
dc.identifier.issn0018-9286-
dc.identifier.urihttp://hdl.handle.net/10722/360837-
dc.description.abstract<p>This article is focused on estimating reachable sets for periodic time-varying systems, whose dynamics are represented by trigonometric series through Fourier theory. Given the difficulty of dealing with coupled time-varying coefficients in reachable set estimation, a constructive polynomial-based approach is utilized to transform time-varying non-convex constraints into constant vertex constraints through the property of multi-affine matrix polynomials. Based on that, when the decay rate parameters for Lyapunov functions are known, the reachable set bounding region can be determined by solving vertex constraints in linear matrix inequality (LMI) forms. In cases where the decay rates are unknown, a Simulated Annealing (SA) algorithm and a Boundary Intersection (BI) algorithm are proposed to provide a tractable solution for parameter searching, and to achieve lower conservatism in the reachable set bounding regions. The effectiveness of our polynomial-based approach is illustrated through simulations using a single-mesh gear system. Moreover, the efficiency of the two algorithms can be assessed by contrasting the conservatism reduced in measurements of bounding regions.</p>-
dc.languageeng-
dc.publisherInstitute of Electrical and Electronics Engineers-
dc.relation.ispartofIEEE Transactions on Automatic Control-
dc.subjectMatrix polynomial-
dc.subjectmulti-affine polynomial-
dc.subjectperiodic time-varying systems-
dc.subjectreachable set estimation-
dc.titleA Polynomial-Based Approach of Reachable Set Estimation for Periodic Time-Varying Systems-
dc.typeArticle-
dc.identifier.doi10.1109/TAC.2025.3554703-
dc.identifier.scopuseid_2-s2.0-105001521400-
dc.identifier.volume70-
dc.identifier.issue9-
dc.identifier.spage6167-
dc.identifier.epage6174-
dc.identifier.eissn1558-2523-
dc.identifier.issnl0018-9286-

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