• 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