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Improved results on stability analysis of time-varying delay systems via delay partitioning method and Finsler's lemma

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Improved results on stability analysis of time-varying delay systems via delay partitioning method and Finsler's lemma

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dc.contributor.author González Sorribes, Antonio es_ES
dc.date.accessioned 2023-09-21T18:06:02Z
dc.date.available 2023-09-21T18:06:02Z
dc.date.issued 2022-09 es_ES
dc.identifier.issn 0016-0032 es_ES
dc.identifier.uri http://hdl.handle.net/10251/196925
dc.description.abstract [EN] This paper proposes novel conditions based on linear matrix inequalities (LMI) for stability analysis of arbitrarily-fast time-varying delays systems. The time-varying delay interval is divided into smaller pieces in order to obtain an equivalent switched model with multiple time-varying delays of smaller interval, which differently from other existing approaches, the maximum switching frequency is not required for stability analysis. Thus, by the use of augmented Lyapunov-Krasovskii functionals and the Finsler¿s lemma, together with some relationships among state variables intentionally defined, the inherent conservatism can be progressively reduced by refining more and more the delay partition. The superiority of the proposed method is illustrated through two benchmark examples es_ES
dc.description.sponsorship This work was supported by grant GV/2021/082 funded by Generalitat Valenciana, grant PID2020-116585GB-I00 funded by MCIN/AEI/10.13039/501100011033, and grant PGC2018-098719-B-I00 funded by MCIU/AEI/FEDER, UE.10.13039/501100011033, and grant PGC2018-098719-B-I00 funded by MCIU/AEI/FEDER, UE. es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Journal of the Franklin Institute es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Stability analysis es_ES
dc.subject Time-varying delay es_ES
dc.subject Delay partitioning es_ES
dc.subject Switched system es_ES
dc.subject Lyapunov-Krasovskii method es_ES
dc.subject Finsler's Lemma es_ES
dc.subject.classification INGENIERIA DE SISTEMAS Y AUTOMATICA es_ES
dc.title Improved results on stability analysis of time-varying delay systems via delay partitioning method and Finsler's lemma es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.jfranklin.2022.07.032 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PGC2018-098719-B-I00/ES/SISTEMAS FLEXIBLES MULTIROBOT PARA COBERTURA Y TRANSPORTE/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GENERALITAT VALENCIANA//GV%2F2021%2F082//Diseño, implementación y validación de estrategias de control avanzadas en red aplicadas a sistemas distribuidos multi-robot/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-116585GB-I00/ES/APRENDIZAJE, CONTROL OPTIMO Y PLANIFICACION BAJO INCERTIDUMBRE EN APLICACIONES INDUSTRIALES/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería del Diseño - Escola Tècnica Superior d'Enginyeria del Disseny es_ES
dc.description.bibliographicCitation González Sorribes, A. (2022). Improved results on stability analysis of time-varying delay systems via delay partitioning method and Finsler's lemma. Journal of the Franklin Institute. 359(14):7632-7649. https://doi.org/10.1016/j.jfranklin.2022.07.032 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.jfranklin.2022.07.032 es_ES
dc.description.upvformatpinicio 7632 es_ES
dc.description.upvformatpfin 7649 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 359 es_ES
dc.description.issue 14 es_ES
dc.relation.pasarela S\472727 es_ES
dc.contributor.funder GENERALITAT VALENCIANA es_ES
dc.contributor.funder AGENCIA ESTATAL DE INVESTIGACION es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES
dc.contributor.funder European Regional Development Fund es_ES


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