Internal model control using neural network for ship roll stabilization

Journal of Marine Science and Technology

Volumn 15, Issue 2, 2007, Pages 141-147

  Alarçïn, Fuat ^a  

^a YILDIZ TECHNICAL UNIVERSITY   (Turkey)

Author keywords

And neural network; Internal model control; Ship roll stabilization

Indexed keywords

INTERNAL MODEL CONTROL; NEURAL NETWORK; SHIP ROLL STABILIZATION;

CONTROL SYSTEM ANALYSIS; ERROR ANALYSIS; MATHEMATICAL MODELS; THREE TERM CONTROL SYSTEMS;

NEURAL NETWORKS;

EID: 34547520666     PISSN: 10232796     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (19)

1. Bhat, N. and Mcavoy, T.J., "Use of Neural Nets for Dynamical Modeling and Control of Chemical Process Systems," Computer and Chemical Engineering, Vol. 14, No. 4-5, pp. 573-583 (1990).
2. Donho, D.C., Desanj, D.S., Katebi, M.R., and Grimble, M.J., "Adaptive Controllers for Autopilot Applications," International Journal of Adaptive Control Signal Process, Vol. 12, pp. 623-648 (1998).
3. Fossen, T.I., Guidance and Control of Ocean Vehicles, John Wiley & Sons, NY (1994).
4. Haddara, M.R. and Xu, J., "On the Identification of Ship Coupled Heave-Pitch Motions Using Neural Networks," Ocean Engineeering, Vol. 26, pp. 381-400 (1999).
5. Hickey, N.A., Johnson, M.A., Katebi, M.R., and Grimble, M.J., "PID Controller Optimisation for Fin Roll Stabilization," International Conference on Control Applications, Hawai, USA (1999).
6. Kalstrom, C.G, Astrom, K.J., and Thoreil, N.E., "Adaptive Autopilots for Tankers," Automatica, Vol. 15, pp. 254-284 (1979).
7. Karayiannis, N.B. and Venetsanopoulas, A.N., "Fast Learning Algorithms for Neural Networks," IEEE Transaction Circuits and Systems-II Analog and Digital Systems Proceedings, Vol. 39, No. 7, pp. 453-474 (1992).
8. Karayiannis, N.B. and Venetsanopoulas, A.N., "Artificial Neural Networks-Learning Algorithms, Performance Evaluation and Applications," Kluwer Academic Publishers, pp. 161-195 (1993).
9. Katebi, M.R. and Byrne, J.C., "LQG Adaptive Ship Autopilot," Transactions of the Institute of Measurement and Control, Vol. 10, No. 4, pp. 187-197 (1988).
10. th International Ship Control Systems Symposium, Netherlands (1975).
11. Morari, M. and Zafirio, E., Robust Process Control, Prentice-Hall, Englewood Cliffs, NJ (1989).
12. Ogata, K., Modern Control Engineering, Prentice-Hall, NJ (1990).
13. Perez, T. and Blanke, M., Mathematical Ship Modelling for Marine Applications (Report No: ØRSTED-DTU: Automation), University of Denmark (2002).
14. Raya, T., Gokarna, R.P., and Shaa, O.P., "Neural Network Applications in Naval Architecture and Marine Engineering," Artificial Intelligence in Engineering, Vol. 10, No. 3, pp. 213-226 (1996).
15. Sgobbo, J.N. and Parsons, M., "Rudder/Fin Roll Stabilization of the USCG WMEC 901 Class Vessel," Marine Technology, 36, pp. 157-170 (1999).
16. Tzeng, C. and Wu, C., "On the Design and Analysis of Ship Stabilizing Fin Controller," Journal of Marine Science and Technology, Vol. 8, pp. 117-124 (2000).
17. Tzeng, C. and Wu, C., "A Sensitivity Function Approach to the Design of Rudder Roll Stabilization Controller," Journal of Marine Science and Technology, Vol. 9, pp. 100-112 (2001).
18. Unar, M.A. and Murray-Smith, D.J., "Automatic Steering of Ships Using Neural Networks," International Journal of Adaptive Control Signal Process, Vol. 13, pp. 203-218 (1999).
19. Zirilli, A.G.M., Roberts, G.N., Tiano, A., and Sutton, R., "Adaptive Steering of Containership Based on Neural Networks," International Journal of Adaptive Control Signal Process, pp. 849-873 (2000).