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dc.contributor.author | Cortés, J.-C. | es_ES |
dc.contributor.author | Navarro-Quiles, Ana | es_ES |
dc.contributor.author | Romero, José-Vicente | es_ES |
dc.contributor.author | Roselló, María-Dolores | es_ES |
dc.date.accessioned | 2022-02-28T19:03:16Z | |
dc.date.available | 2022-02-28T19:03:16Z | |
dc.date.issued | 2021-11 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/181145 | |
dc.description | This is the peer reviewed version of the following article: Cortés, J-C, Navarro-Quiles, A, Romero, J-V, Roselló, M-D. Solving fully randomized higher-order linear control differential equations: Application to study the dynamics of an oscillator. Comp and Math Methods. 2021; 3:e1163, which has been published in final form at https://doi.org/10.1002/cmm4.1163. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving. | es_ES |
dc.description.abstract | [EN] In this work, we consider control problems represented by a linear differential equation assuming that all the coefficients are random variables and with an additive control that is a stochastic process. Specifically, we will work with controllable problems in which the initial condition and the final target are random variables. The probability density function of the solution and the control has been calculated. The theoretical results have been applied to study, from a probabilistic standpoint, a damped oscillator. | es_ES |
dc.description.sponsorship | European Social Fund, Grant/Award Numbers: GJIDI/2018/A/009, GJIDI/2018/A/010; Spanish Ministerio de Economía, Industria y Competitividad (MINECO), the Agencia Estatal de Investigación (AEI) and Fondo Europeo de Desarrollo Regional (FEDER UE), Grant/Award Number: MTM2017-89664-P. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | John Wiley & Sons | es_ES |
dc.relation.ispartof | Computational and Mathematical Methods | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | First probability density function | es_ES |
dc.subject | Random control differential equation | es_ES |
dc.subject | Random damped linear oscillators | es_ES |
dc.subject | Random variable transformation technique | es_ES |
dc.subject.classification | MATEMATICA APLICADA | es_ES |
dc.title | Solving fully randomized higher-order linear control differential equations: Application to study the dynamics of an oscillator | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1002/cmm4.1163 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/MTM2017-89664-P/ES/PROBLEMAS DINAMICOS CON INCERTIDUMBRE SIMULABLE: MODELIZACION MATEMATICA, ANALISIS, COMPUTACION Y APLICACIONES/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/GVA//GJIDI%2F2018%2FA%2F009/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/GVA//GJIDI%2F2018%2FA%2F010/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada | es_ES |
dc.description.bibliographicCitation | Cortés, J.; Navarro-Quiles, A.; Romero, J.; Roselló, M. (2021). Solving fully randomized higher-order linear control differential equations: Application to study the dynamics of an oscillator. Computational and Mathematical Methods. 3(6):1-15. https://doi.org/10.1002/cmm4.1163 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1002/cmm4.1163 | es_ES |
dc.description.upvformatpinicio | 1 | es_ES |
dc.description.upvformatpfin | 15 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 3 | es_ES |
dc.description.issue | 6 | es_ES |
dc.identifier.eissn | 2577-7408 | es_ES |
dc.relation.pasarela | S\432305 | es_ES |
dc.contributor.funder | Generalitat Valenciana | es_ES |
dc.contributor.funder | AGENCIA ESTATAL DE INVESTIGACION | es_ES |
dc.contributor.funder | European Regional Development Fund | es_ES |