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dc.contributor.authorNa, Jing
dc.contributor.authorXing, Yashan
dc.contributor.authorCosta Castelló, Ramon
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2019-03-13T07:43:02Z
dc.date.available2019-03-13T07:43:02Z
dc.date.issued2021-02-10
dc.identifier.citationNa, J.; Xing, Y.; Costa-Castelló, R. Adaptive estimation of time-varying parameters with application to roto-magnet plant. "IEEE Transactions on Systems, Man, and Cybernetics. Systems", 10 Febrer 2021, vol. 51, núm. 2, p. 731-741
dc.identifier.issn2168-2216
dc.identifier.urihttp://hdl.handle.net/2117/130299
dc.description© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
dc.description.abstractThis paper presents an alternative adaptive parameter estimation framework for nonlinear systems with time-varying parameters. Unlike existing techniques that rely on the polynomial approximation of time-varying parameters, the proposed method can directly estimate the unknown time-varying parameters. Moreover, this paper proposes several new adaptive laws driven by the derived information of parameter estimation errors, which achieve faster convergence rate than conventional gradient descent algorithms. In particular, the exponential error convergence can be rigorously proved under the well-recognized persistent excitation condition. The robustness of the developed adaptive estimation schemes against bounded disturbances is also studied. Comparative simulation results reveal that the proposed approaches can achieve better estimation performance than several other estimation algorithms. Finally, the proposed parameter estimation methods are verified by conducting experiments based on a roto-magnet plant.
dc.format.extent17 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Automàtica i control
dc.subject.lcshAutomatic control
dc.subject.lcshControl theory
dc.subject.lcshRobust control
dc.subject.otherAdaptive parameter estimation
dc.subject.otherNonlinear systems
dc.subject.otherTime-varying parameters
dc.titleAdaptive estimation of time-varying parameters with application to roto-magnet plant
dc.typeArticle
dc.subject.lemacControl automàtic
dc.subject.lemacControl, Teoria de
dc.subject.lemacControl de robustesa
dc.contributor.groupUniversitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control
dc.identifier.doi10.1109/TSMC.2018.2882844
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/8571160
dc.rights.accessOpen Access
local.identifier.drac23565818
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO//DPI2015-69286-C3-2-R/ES/ESTIMACION, DIAGNOSIS Y CONTROL PARA LA MEJORA DE LA EFICIENCIA Y LA VIDA UTIL DE LAS PILAS DE COMBUSTIBLE DE TIPO PEM/
local.citation.authorNa, Jing; Xing, Y.; Costa-Castelló, R.
local.citation.publicationNameIEEE Transactions on Systems, Man, and Cybernetics. Systems
local.citation.volume7
local.citation.startingPage731
local.citation.endingPage741


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