DocumentCode
3533405
Title
Continuous-time system identification of a ship on a river
Author
Padilla, Alexandra ; Yuz, Juan I.
Author_Institution
Max-Planck-Inst. fur Dynamik Komplexer Technischer Syst., Magdeburg, Germany
fYear
2013
fDate
10-13 Dec. 2013
Firstpage
4553
Lastpage
4558
Abstract
Model-based control strategies require accurate modeling of a system. Physical modeling leads to differential equations where the parameters can then be estimated from experimental data. In this paper, we present the continuous-time identification of the ship dynamics based on real data collected in open loop. In particular, the models for the drift and yaw dynamics are estimated for one ship. The obtained models show good results when tested with validation data and could be used, for example, for autopilot control strategies.
Keywords
continuous time systems; differential equations; marine navigation; open loop systems; parameter estimation; rivers; ships; vehicle dynamics; autopilot control strategies; continuous-time system identification; differential equations; drift dynamics; model-based control strategies; open loop; parameter estimation; physical modeling; river; ship dynamics; system modeling; yaw dynamics; Data models; Dynamics; Marine vehicles; Mathematical model; Navigation; Noise; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
Conference_Location
Firenze
ISSN
0743-1546
Print_ISBN
978-1-4673-5714-2
Type
conf
DOI
10.1109/CDC.2013.6760592
Filename
6760592
Link To Document