Rudder Roll Damping Autopilot Using Dual Extended Kalman Filter–Trained Neural Networks for Ships in Waves-Reference-Cited by-同舟云学术

Rudder Roll Damping Autopilot Using Dual Extended Kalman Filter–Trained Neural Networks for Ships in Waves

Published:2019-10-16 Issue:4 Volume:18 Page:510-521
ISSN:1671-9433
Container-title:Journal of Marine Science and Application
language:en
Short-container-title:J. Marine. Sci. Appl.

Author:

Wang Yuanyuan,Nguyen Hung Duc

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering,Ocean Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11804-019-00111-8.pdf

Reference32 articles.

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3. Choi J, Lima ACC, Haykin S (2005) Kalman filter-trained recurrent neural equalizers for time-varying channels. IEEE Trans Commun 53(3):472–480. https://doi.org/10.1109/TCOMM.2005.843416

4. De JRJ, Yu W (2007) Nonlinear system identification with recurrent neural networks and dead-zone Kalman filter algorithm. Neurocomputing 70(13–15):2460–2466. https://doi.org/10.1016/j.neucom.2006.09.004

5. Fang MC, Luo JH (2006) A combined control system with roll reduction and track keeping for the ship moving in waves. J Ship Res 50(4):344–354

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