Mostrar el registro sencillo del ítem
dc.contributor.author | Castillo-Frasquet, Alberto | es_ES |
dc.contributor.author | García Gil, Pedro José | es_ES |
dc.date.accessioned | 2022-05-27T18:05:15Z | |
dc.date.available | 2022-05-27T18:05:15Z | |
dc.date.issued | 2021-02 | es_ES |
dc.identifier.issn | 0005-1098 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/182962 | |
dc.description.abstract | [EN] Predicting the state of a system in a relatively near future time instant is often needed for control purposes. However, when the system is affected by external disturbances, its future state is dependent on the forthcoming disturbance; which is -in most of the cases- unknown and impossible to measure. In this scenario, making predictions of the future system-state is not straightforward and -indeed-there are scarce contributions provided to this issue. This paper treats the following problem: given a LTI system affected by continuously differentiable unknown disturbances, how its future state can be predicted in a sufficiently small time-horizon by high-order observers. Observer design methodologies in order to reduce the prediction errors are given. Comparisons with other solutions are also established. | es_ES |
dc.description.sponsorship | This work was supported by projects FPU15/02008, Ministerio de Educacion y Ciencia, Spain; and TIN2017-86520-C3-1-R, Ministerio de Ciencia, Innovacion y Universidades, Spain. The material in this paper was not presented at any conference. This paper was recommended for publication in revised form by Associate Editor Mario Sznaier under the direction of Editor Andre L. Tits. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Automatica | es_ES |
dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
dc.subject | Predictor | es_ES |
dc.subject | State-prediction | es_ES |
dc.subject | Disturbance observer | es_ES |
dc.subject | Linear Matrix Inequalities (LMI) | es_ES |
dc.subject.classification | INGENIERIA DE SISTEMAS Y AUTOMATICA | es_ES |
dc.title | Predicting the future state of disturbed LTI systems: A solution based on high-order observers | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.automatica.2020.109365 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2017-86520-C3-1-R/ES/SISTEMAS INFORMATICOS PREDECIBLES Y CONFIABLES PARA LA INDUSTRIA 4.0/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MECD//FPU15%2F02008/ES/FPU15%2F02008/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica | es_ES |
dc.description.bibliographicCitation | Castillo-Frasquet, A.; García Gil, PJ. (2021). Predicting the future state of disturbed LTI systems: A solution based on high-order observers. Automatica. 124:1-5. https://doi.org/10.1016/j.automatica.2020.109365 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1016/j.automatica.2020.109365 | es_ES |
dc.description.upvformatpinicio | 1 | es_ES |
dc.description.upvformatpfin | 5 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 124 | es_ES |
dc.relation.pasarela | S\428645 | es_ES |
dc.contributor.funder | MINISTERIO DE EDUCACION | es_ES |
dc.contributor.funder | AGENCIA ESTATAL DE INVESTIGACION | es_ES |