Nonlinear controller design of a ship autopilot

 Access to full text

 Full (PDF)

1. Bagheri, A. and Moghaddam, J.J. (2009). Simulation and tracking control based on neural-network strategy and slidingmode control for underwater remotely operated vehicle, Neurocomputing 72(7-9): 1934-1950. 
2. Bessa, W.M., Dutra, M.S. and Kreuzer, E. (2008). Depth control of remotely operated underwater vehicles using an adaptive fuzzy sliding mode controller, Robotics and Autonomous Systems 56(8): 670-677. 
3. Castillo-Toledo, B., Di Gennaro, S., Loukianov, A.G. and Rivera, J. (2008). Discrete time sliding mode control with application to induction motors, Automatica 44(12): 3036-3045. Zbl1153.93336
4. Chen, C.-Y. Li, T.-H.S. and Yeh Y.-C. (2009). EP-based kinematic control and adaptive fuzzy sliding-mode dynamic control for wheeled mobile robots, Information Sciences 179 (1-2): 180-195. Zbl1158.93356
5. Clarke, D. (2003). The foundations of steering and maneouvering, Proceedings of the IFAC Conference on Manoeuvering and Control Marine Crafts, Girona, Spain, pp. 10-25. 
6. Davidson, K.S.M. and Schiff, L.I. (1946). Turning and course keeping qualities, Transactions-Society of Naval Architects Marine Engineers 54: 152-200. 
7. Demirtas, M. (2009). DSP-based sliding mode speed control of induction motor using neuro-genetic structure, Expert Systems with Applications 36(3): 5533-5540. 
8. Etien, E., Cauet, S., Rambault, L. and Champenois, G. (2002). Control of an induction motor using sliding mode linearization, International Journal of Applied Mathematics and Computer Science 12(4): 523-532. Zbl1045.93037
9. Faltinsen, O.M. (1990), Sea Loads on Ships and Offshore Structures, Cambridge University Press, Cambridge. 
10. Fang, M.-C. and Luo, J.-H. (2005). The nonlinear hydrodynamic model for simulating a ship steering in waves with autopilot system, Ocean Engineering 32(11-12): 1486-1502. 
11. Fossen, T.I. (1994). Guidance and Control of Ocean Vehicles, John Wiley & Sons Ltd., Chichester. 
12. Fossen, T.I. (2002). Marine Control Systems: Guidance, Navigation, and Control of Ships, Rigs and Underwater Vehicles, Marine Cybernetics, Trondheim. 
13. Galbas, J. (1988). Synthesis of precise ship steering systems making use of thrusters, Ph.D. thesis, Technical University of Gdańsk, Gdańsk, (in Polish). 
14. Gierusz, W. (2001). Simulation model of the shiphandling training boat Blue Lady, Proceedings of Control Applications in Marine Systems, Glasgow, UK. 
15. Healey, A.J. and Marco, D.B. (1992). Slow speed flight control of autonomous underwater vehicles: Experimental results with NPS AUV II, Proceedings of the 2nd International Offshore and Polar Conference, San Francisco, CA, USA, pp. 523-532. 
16. Healey, A.J. and Lienard, D. (1993). Multivariable sliding mode control for autonomous diving and steering of unamanned underwater vehicles, IEEE Journal of Oceanic Engineering 18(3): 327-339. 
17. Hung, L. and Chung, H. (2007). Decoupled control using neural network-based sliding-mode controller for nonlinear systems, Expert Systems with Applications 32(4): 1168-1182. 
18. Kallstrom, C. G. and Ottosson, P. (1982). The generation and control of roll motion of ships in close turns, Proceedings of the 4th International Symposium on Ship Operation and Automation, Genova, Italy, pp. 25-36. 
19. Lindegaard, K.-P. and Fossen T.I. (2002). Fuel efficient rudder and propeller control allocation for marine craft: Experiments with model ship, IEEE Transactions on Control Systems Technology 11(6): 850-862. 
20. Lindegaard K.-P. (2003). Acceleration Feedback in Dynamic Positioning, Ph.D. thesis, Norwegian University of Science and Technology, Trondheim. 
21. McGookin, E.W., Murray-Smith, D.J., Li, Y. and Fossen T.I. (2000). Ship steering control system optimisation using genetic algorithms, Control Engineering Practice 8(4): 429-443. 
22. Moghaddam, J.J. and Bagheri, A. (2010). An adaptive neurofuzzy sliding mode based genetic algorithm control system for under water remotely operated vehicle, Expert Systems with Applications 37(1): 647-660. 
23. Nomoto, K., Taguchi, T., Honda, K. and Hirano, S. (1957). On the steering qualities of ships, International Shipbuilding Progress 4(35): 354-370. 
24. Sadati, N. and Ghadami, R. (2008). Adaptive multi-model sliding mode control of robotic manipulators using soft computing, Neurocomputing 71(13-15): 2702-2710. 
25. Skjetne, R., Smogeli, O. and Fossen T.I. (2004). Modeling, identification, and adaptive maneuvering of Cybership II: A complete design with experiments, Proceedings of the IFAC Conference on Application Marine Systems, CAMS 2004, Ancona, Italy, pp. 203-208. 
26. Skjetne, R. (2005). The Maneuvering Problem, Ph.D. thesis, Norwegian University of Science and Technology, Trondheim. 
27. Slotine, J.J.E. and Li, W. (1991). Applied Nonlinear Control, Prentice Hall, London. Zbl0753.93036
28. Solea, R. and Nunes, U. (2007). Trajectory planning and slidingmode control based trajectory-tracking for cybercars, Integrated Computer-Aided Engineering 14(1): 33-47. 
29. Sveen, D.A. (2003). Robust and adaptive tracking control for synchronization with an ROV: Practical implementation on CyberShip II, M.Sc. thesis, Norwegian University of Science and Technology, Trondheim. 
30. Tomera, M. and Śmierzchalski, R. (2006). Sliding controller for ship course steering, Proceedings of the 7th IFAC Conference on Manouvering and Control of Marine Craft, MCMC, Lisbon, Portugal. 

1. Anna Witkowska, Roman Śmierzchalski, Designing a ship course controller by applying the adaptive backstepping method
2. Andrzej Bartoszewicz, Piotr Leśniewski, An optimal sliding mode congestion controller for connection-oriented communication networks with lossy links
3. Shaoji Fang, Mogens Blanke, Fault monitoring and fault recovery control for position-moored vessels
4. Stanisław Bańka, Paweł Dworak, Krzysztof Jaroszewski, Linear adaptive structure for control of a nonlinear MIMO dynamic plant
5. Józef Lisowski, Sensitivity of computer support game algorithms of safe ship control
6. Stanisław Bańka, Paweł Dworak, Krzysztof Jaroszewski, Design of a multivariable neural controller for control of a nonlinear MIMO plant