| dc.contributor.author | Revestido Herrero, Elías | |
| dc.contributor.author | Llata García, José Ramón | |
| dc.contributor.author | Sainz Gutiérrez, José Joaquín | |
| dc.contributor.author | Velasco González, Francisco Jesús | |
| dc.contributor.author | Díaz Torrijos, Patricia | |
| dc.contributor.other | Universidad de Cantabria | es_ES |
| dc.date.accessioned | 2024-11-13T14:14:03Z | |
| dc.date.issued | 2024-10 | |
| dc.identifier.issn | 1744-5302 | |
| dc.identifier.issn | 1754-212X | |
| dc.identifier.other | TED2021-132158B-I00 | es_ES |
| dc.identifier.uri | https://hdl.handle.net/10902/34470 | |
| dc.description.abstract | In this work, indirect inference (II) techniques are applied to estimate the parameters of a non-linear manoeuvring model of a remotely operated vehicle (ROV). In the application of this method, a set of auxiliary statistics is established in the optimisation process in order to improve the efficiency of the estimated parameters. For the parameter estimation, data from different tests are available, which were carried out with a ROV in the facilities of the Centro de Experiencias Hidrodinámicas del Pardo INTA/CEHIPAR, Madrid. The model obtained is validated by means of graphical and statistical methods with the acquired data and the statistical properties of the estimated parameters are evaluated by means of a Monte Carlo study. | es_ES |
| dc.description.sponsorship | This work has been partially supported through the project TED2021-132158B-I00 Evolutionary Monitoring with Unmanned Underwater Vehicles for the Maintenance of the bottom and Anchorages of Offshore Wind Farms funded by MCIN/AEI /10.13039/501100011033 and by the European Union – Next Generation and through the project Control of Unmanned Underwater Vehicles for Supervision of Structures for Anchored Maritime Works. Advanced and Inteligent Controllers 3D Supervision funded by the Ministry of Universities, Equality, Culture and Sport of the Government of Cantabria. | es_ES |
| dc.format.extent | 16 p. | es_ES |
| dc.language.iso | eng | es_ES |
| dc.publisher | Taylor & Francis | es_ES |
| dc.rights | This Accepted Manuscript version is made available under the CC BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ | es_ES |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | es_ES |
| dc.source | Ships and Offshore Structures, 2024, 19(10), 1676-1683 | es_ES |
| dc.subject.other | Non-linear manoeuvring model | es_ES |
| dc.subject.other | Indirect inference | es_ES |
| dc.subject.other | ROV | es_ES |
| dc.subject.other | Ordinary least squares | es_ES |
| dc.title | Indirect inference approach for parameter estimation of non linear manoeuvring models of a ROV based on model basin trials | es_ES |
| dc.type | info:eu-repo/semantics/article | es_ES |
| dc.relation.publisherVersion | https://doi.org/10.1080/17445302.2023.2275092 | es_ES |
| dc.rights.accessRights | embargoedAccess | es_ES |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/TED2021-131522B-I00/ES/TÉCNICAS DE ENSAYO NO DESTRUCTIVAS EN MADERA LAMINADA BASADAS EN ANÁLISIS DINÁMICO Y ULTRASONIDOS CONSIDERANDO LA INFLUENCIA DE LOS FACTORES AMBIENTALES/ | |
| dc.identifier.DOI | 10.1080/17445302.2023.2275092 | |
| dc.type.version | acceptedVersion | es_ES |
| dc.embargo.lift | 2025-11-01 | |
| dc.date.embargoEndDate | 2025-11-01 | |
Excepto si se señala otra cosa, la licencia del ítem se describe como This Accepted Manuscript version is made available under the CC BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
