Universidad Complutense de Madrid
E-Prints Complutense

Semiphysical modelling of the nonlinear dynamics of a surface craft with LS-SVM

Impacto

Downloads

Downloads per month over past year

Moreno Salinas, David and Chaos, Dictino and Besada Portas, Eva and López Orozco, José Antonio and Cruz García, Jesús Manuel de la and Aranda, Joaquín (2013) Semiphysical modelling of the nonlinear dynamics of a surface craft with LS-SVM. Mathematical Problems in Engineering . ISSN 1024-123X

[img]
Preview
PDF
Creative Commons Attribution.

2MB

Official URL: http://dx.doi.org/10.1155/2013/890120



Abstract

One of the most important problems in many research fields is the development of reliable mathematical models with good predictive ability to simulate experimental systems accurately. Moreover, in some of these fields, as marine systems, these models play a key role due to the changing environmental conditions and the complexity and high cost of the infrastructure needed to carry out experimental tests. In this paper, a semiphysical modelling technique based on least-squares support vector machines (LS-SVM) is proposed to determine a nonlinear mathematical model of a surface craft. The speed and steering equations of the nonlinear model of Blanke are determined analysing the rudder angle, surge and sway speeds, and yaw rate from real experimental data measured from a zig-zag manoeuvre made by a scale ship. The predictive ability of the model is tested with different manoeuvring experimental tests to show the good performance and prediction ability of the model computed.


Item Type:Article
Additional Information:

© 2013 David Moreno-Salinas et al.
The authors wish to thank the Spanish Ministry of Science and Innovation (MICINN) for support under Projects DPI2009-14552-C02-01 and DPI2009-14552-C02-02. The authors wish to thank also the National University Distance Education (UNED) for support under Project 2012V/PUNED/0003.

Uncontrolled Keywords:Support Vector Machines, System-Identification, Neural-Networks, Ship
Subjects:Sciences > Computer science
ID Code:27214
Deposited On:17 Nov 2014 12:51
Last Modified:17 Nov 2014 12:51

Origin of downloads

Repository Staff Only: item control page