Data-Driven Parameter Estimation of Nonlinear Ship Manoeuvring Model in Shallow Water Using Truncated Least Squares Support Vector Machines

Data-Driven Parameter Estimation of Nonlinear Ship Manoeuvring Model in Shallow Water Using Truncated Least Squares Support Vector Machines

A data-driven method, the truncated LS-SVM, is proposed for estimating the nondimensional hydrodynamic coefficients of a nonlinear manoeuvring model. Experimental data collected in a shallow water towing tank are utilized in this study. To assess the accuracy and robustness of the truncated LS-SVM m...

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Bibliographic Details
Main Authors: Haitong Xu, C. Guedes Soares
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Journal of Marine Science and Engineering
Subjects:
data-driven
parameter estimation
large-scale training set
truncated LS-SVM
shallow water
Online Access:https://www.mdpi.com/2077-1312/11/10/1865

Internet

https://www.mdpi.com/2077-1312/11/10/1865

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