Dynamic positioning of ships using a planned neural network controller

Journal of Ship Research

Volumn 40, Issue 2, 1996, Pages 164-171

  Li, Ding ^a   Gu, Mao Xiang ^a  

^a CHINA SHIP SCIENTIFIC RESEARCH CENTER   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER CONTROL SYSTEMS; COMPUTER SIMULATION; DYNAMICS; NEURAL NETWORKS; OCEAN CURRENTS; OPTIMIZATION; SELF TUNING CONTROL SYSTEMS; SHIP PROPELLERS; THREE TERM CONTROL SYSTEMS; WATER WAVES; WIND EFFECTS;

FEEDFORWARD CONTROL; NONLINEAR WAVE DRIFT FORCES; STATION KEEPING PROBLEM; THRUSTERS; WAVE HYDRODYNAMICS;

DYNAMIC POSITIONING;

EID: 0030165882     PISSN: 00224502     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (11)

1. CHEN, V. C. 1990 Back-propagation neural networks. IEEE Control Systems Magazine, 10, 3, April, 44-48.
2. HORNIK, K., STINCHCOMBE, M., AND WHITE H. 1989 Multilayer feedforward networks are univer approximators. Neural Networks, 2, 359-366.
3. GU, M. X., PAO, Y. H., AND YIP, P. P. C. 1992 Neural-net computing for dynamic positioning of vessels at sea. Marine Jubilee Meeting, May 11-15, Wageningen, The Netherlands.
4. GU, M. X., PAO, Y. H., AND YIP, P. P. C. 1993 Neural-net computing for real-time control of a ship's dynamic positioning at sea. Computer Engineering Practice, 1, 2, 305-314.
5. GU, M. X. AND LI DING 1994 Dynamic positioning of ships using a 1-step ahead neural network controller. International Conference on Hydrodynamics, Wuxi, China, Oct. 30-Nov. 3.
6. NARENDRA, K. S. AND PARTHASARATHY, K. 1990 Identification and control of dynamic systems using neural networks. IEEE Trans. Neural Networks. 1, 1, March, 4-27.
7. PINKSTER, J. A. 1980 Dynamic positioning of vessels at sea. Proceedings, International Symposium on Ocean Engineering and Ship Handling, SSPA, Gothenburg, Sweden.
8. PAO, Y. H. 1989 Adaptive Pattern Recognition and Neural Networks. Addison-Wesley, Reading, Mass.
9. PAO, Y. H., PARK, G. H., AND SOBAJIC, D. J. 1991 System identification and noise cancellation: a quantitative comparative study of Kalman filtering and neural-net approaches. Proceedings, American Control Conference, June 26-28, Boston.
10. SJOUKE, J. AND LAGERS, G. 1977 Development of dynamical positioning. Paper No. 1489, Offshore Technology Conference, Houston.
11. YIP, P. P. C. AND PAO, Y. H. 1993 A recurrent neural net approach to 1-step ahead control problems. Department of Electrical Engineering and Applied Physics, Case Western Reserve University, Cleveland.