Indirect inference approach for parameter estimation of non linear manoeuvring models of a ROV based on model basin trials

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URI: https://hdl.handle.net/10902/34470
ISSN: 1744-5302
ISSN: 1754-212X
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Autoría
Revestido Herrero, ElíasAutoridad Unican; Llata García, José Ramón; Sainz Gutiérrez, José JoaquínAutoridad Unican; Velasco González, Francisco JesúsAutoridad Unican; Díaz Torrijos, Patricia
Fecha
2024-10
Derechos
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/
Publicado en
Ships and Offshore Structures, 2024, 19(10), 1676-1683
Editorial
Taylor & Francis
Disponible después de
2025-11-01
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Palabras clave
Non-linear manoeuvring model
Indirect inference
ROV
Ordinary least squares
Resumen/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.
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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/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/