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Probabilistic analysis of the steady state of weakly perturbed linear oscillators subject to a class of Gaussian inputs

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dc.contributor.author Cortés, J.-C. es_ES
dc.contributor.author Romero, José-Vicente es_ES
dc.contributor.author Roselló, María-Dolores es_ES
dc.contributor.author Valencia-Sullca, Joaquín Francisco es_ES
dc.date.accessioned 2025-02-27T19:02:54Z
dc.date.available 2025-02-27T19:02:54Z
dc.date.issued 2024-10 es_ES
dc.identifier.issn 0960-0779 es_ES
dc.identifier.uri http://hdl.handle.net/10251/214916
dc.description.abstract [EN] This paper aims to probabilistically study a class of nonlinear oscillator subject to weak perturbations and driven by stationary zero-mean Gaussian stochastic processes. For the sake of generality in the analysis, we assume that the perturbed term is a polynomial of arbitrary degree in the spatial position, that contains, as a particular case, the important case of the Duffing equation. We then take advantage of the so-called stochastic equivalent linearization technique to construct an equivalent linear model so that its behavior consistently approximates, in the mean-square sense, that of the nonlinear oscillator. This approximation allows us to take extensive advantage of the probabilistic properties of the solution of the linear model and its first mean- square derivative to construct reliable approximations of the main statistical moments of the steady state. From this key information, we then apply the principle of maximum entropy to construct approximations of the probability density function of the steady state. We illustrate the superiority of the equivalent linearization technique over the perturbation method through some examples. es_ES
dc.description.sponsorship This work has been supported by the grant PID2020-115270GB I00 granted by MCIN/AEI/10.13039/501100011033. es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Chaos, Solitons and Fractals es_ES
dc.rights Reconocimiento - No comercial (by-nc) es_ES
dc.subject Nonlinear oscillator es_ES
dc.subject Principle of maximum entropy es_ES
dc.subject Equivalent linearization es_ES
dc.subject Perturbation technique es_ES
dc.subject.classification MATEMATICA APLICADA es_ES
dc.title Probabilistic analysis of the steady state of weakly perturbed linear oscillators subject to a class of Gaussian inputs es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.chaos.2024.115451 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-115270GB-I00/ES/ECUACIONES DIFERENCIALES ALEATORIAS. CUANTIFICACION DE LA INCERTIDUMBRE Y APLICACIONES/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Telecomunicación - Escola Tècnica Superior d'Enginyers de Telecomunicació es_ES
dc.contributor.affiliation Universitat Politècnica de València. Facultad de Administración y Dirección de Empresas - Facultat d'Administració i Direcció d'Empreses es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario de Telecomunicación y Aplicaciones Multimedia - Institut Universitari de Telecomunicacions i Aplicacions Multimèdia es_ES
dc.description.bibliographicCitation Cortés, J.; Romero, J.; Roselló, M.; Valencia-Sullca, JF. (2024). Probabilistic analysis of the steady state of weakly perturbed linear oscillators subject to a class of Gaussian inputs. Chaos, Solitons and Fractals. 187. https://doi.org/10.1016/j.chaos.2024.115451 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.chaos.2024.115451 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 187 es_ES
dc.relation.pasarela S\524714 es_ES
dc.contributor.funder AGENCIA ESTATAL DE INVESTIGACION es_ES
dc.contributor.funder Universitat Politècnica de València es_ES
upv.costeAPC 3190 es_ES


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