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
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;
Conference_Titel :
Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
Conference_Location :
Firenze
Print_ISBN :
978-1-4673-5714-2
DOI :
10.1109/CDC.2013.6760592