@article{10902/34470,
year = {2024},
month = {10},
url = {https://hdl.handle.net/10902/34470},
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.},
organization = {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.},
publisher = {Taylor & Francis},
publisher = {Ships and Offshore Structures, 2024, 19(10), 1676-1683},
title = {Indirect inference approach for parameter estimation of non linear manoeuvring models of a ROV based on model basin trials},
author = {Revestido Herrero, Elías and Llata García, José Ramón and Sainz Gutiérrez, José Joaquín and Velasco González, Francisco Jesús and Díaz Torrijos, Patricia},
}