Neural network control of underwater vehicles

Engineering Applications of Artificial Intelligence

Volumn 18, Issue 5, 2005, Pages 533-547

  Van De Ven, Pepijn W J ^a   Flanagan, Colin ^a   Toal, Daniel ^a  

^a UNIVERSITY OF LIMERICK   (Ireland)

Author keywords

Autonomous learning; Intelligent control; Model estimation; Neuro control; Ocean engineering; Online adaptation; Underwater vehicles

Indexed keywords

ESTIMATION; INTELLIGENT CONTROL; LEARNING SYSTEMS; MATHEMATICAL MODELS; NEURAL NETWORKS; OCEANOGRAPHY;

AUTONOMOUS LEARNING; MODEL ESTIMATION; NEURO-CONTROL; ONLINE ADAPTATION;

UNDERWATER EQUIPMENT;

EID: 18144394734     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2004.12.004     Document Type: Article

References (39)

1. Akkizidis, I., Roberts, G., 1998. Fuzzy modelling and fuzzy-neuro motion control of an autonomous underwater robot. In: Proceedings of the Fifth International Workshop on Advanced Motion Control, pp. 641-646.
2. Campa, G., Sharma, M., Calise, A., Innocenti, M., 2000. Neural network augmentation of linear controllers with application to underwater vehicles. In: Proceedings of the 2000 American Control Conference, vol. 1, pp. 75-79.
3. Comoglio, R., Pandya, A., 1992. Using a cerebellar model arithmetic computer (cmac) neural network to control an autonomous underwater vehicle. In: Proceedings of the International Joint Conference on Neural Networks, vol. 2, pp. 781-786.
4. R. Dorf, and R. Bishop Modern Control Systems seventh ed. 1995 Addison-Wesley Reading, MA
5. Farrell, J., Goldenthal, B., Govindarajan, K., 1990. Connectionist learning control systems: submarine depth control. In: Proceedings of the 29th IEEE Conference on Decision and Control, vol. 4, pp. 2362-2367.
6. T. Fossen Guidance and Control of Underwater Vehicles 1994 Wiley New York
7. T. Fossen Marine Control Systems Guidance Navigation and Control of Ships Rigs and Underwater Vehicles first ed. 2002 Marine Cybernetics AS
8. Fujii, T., Ura, T., 1990. Development of motion control system for AUV using neural nets. In: Proceedings of the (1990) Symposium on Autonomous Underwater Vehicle Technology, pp. 81-86.
9. Fujii, T., Ura, T., Kuroda, Y., Chiba, H., Nose, Y., Aramaki, K., 1993. Development of a versatile test-bed "Twin-Burger" toward realization of intelligent behaviors of autonomous underwater vehicles, In: Proceedings of the IEEE OCEANS '93, pp. 186-191.
10. Guo, J., Chiu, F., Wang, C.-C., 1995. Adaptive control of an autonomous underwater vehicle testbed using neural networks. In: Proceedings of the IEEE OCEANS '95, vol. 2, pp. 1033-1039.
11. S. Haykin Neural Networks, A Comprehensive Foundation second ed. 1999 Prentice-Hall Englewood Cliffs, NJ
12. Hong, S.E.A., 2000. Development of technologies for navigation and manipulator system of a semi-autonomous underwater vehicle. Korea Ocean Research & Development Institute, Korea (in Korean).
13. Humphreys, D., 1976. Development of the equations of motion and transfer functions for underwater vehicles, Technical Report, Naval Coastal Systems Center.
14. K. Ishii, T. Fujii, and T. Ura An on-line adaptation method in a neural network based control system for AUVs IEEE Journal of Oceanic Engineering 2 3 1995 221 228
15. K. Ishii, and T. Ura An adaptive neural-net controller system for an underwater vehicle Control engineering practice 8 2000 177 184
16. Ishii, K., Ura, T., Fujii, T., 1994. A feedforward neural network for identification and adaptive control of autonomous underwater vehicles. In: IEEE International Conference on Neural Networks, 1994, vol. 5, pp. 3216-3221.
17. Kim, T., Yuh, J., 2001. A novel neuro-fuzzy controller for autonomous underwater vehicles. In: Proceedings of the 2001 International Conference on Robotics & Automation, pp. 2350-2355.
18. Kodogiannis, P., Lisboa, G., Lucas, J., 1996. Neural network modelling and control for underwater vehicles. Artificial Intelligence in Engineering 1.
19. Labonte, G., 2002. Fast adaptive control of a non-linear system by an adaline: motion in a fluid. In: Proceedings of the 2002 International Joint Conference on Neural Networks, vol. 2, pp. 1837-1841.
20. Li, J.-H., Lee, P.-M., Lee, S.-J., 2002. Neural net based nonlinear adaptive control for autonomous underwater vehicles. In: Proceedings of the 2002 IEEE International Conference on Robotics and Automation, vol. 2, pp. 1075-1080.
21. Lorentz, J., Yuh, J., 1996. A survey and experimental study of neural network AUV control. In: Proceedings of the 1996 Symposium on Autonomous Underwater Vehicle Technology, pp. 109-116.
22. K. Narendra, and K. Parthasarathy Identification and control of dynamical systems using neural networks IEEE Transactions on Neural Networks 1 1990 4 27
23. Pollini, L., Innocenti, M., Nasuti, F., 1997. Robust feedback linearization with neural network for underwater vehicle control. In: Proceedings of the OCEANS '97, vol. 11. MTS/IEEE, pp. 12-16.
24. Polycarpou, M.M., Ioannou, P., 1993. Stable nonlinear system identification using neural network models. Neural Networks in Robotics, 165-177.
25. Seube, N., 1991. Neural network learning rules for control: application to AUV tracking control. In: Proceedings of the 1991 IEEE Conference on Neural Networks for Ocean Engineering, pp. 185-196.
26. L.H. Tsoukalas, and R. Uhrig Fuzzy and Neural Approaches in Engineering 1997 Wiley New York
27. Tsukamoto, C., Lee, W., Yuh, K., Choi, S., Lorentz, J., 1997. Comparison study on advanced thruster control of underwater robots. In: Proceedings of the 1997 IEEE International Conference on Robotics and Automation, 1997, pp. 1845-1850.
28. Ura, T., Fujii, T., Nose, Y., Kuroda, Y., 1990. Self-organizing control system for underwater vehicles. In: Proceedings of the OCEANS '90, pp. 76-81.
29. Van de Ven, P., Flanagan, C., Toal, D., 2004a. Identification of underwater vehicle dynamics with neural networks. In: OCEANS '04 MTS/IEEE, Conference Proceedings, vol. 3, November 2004, pp. 1198-1204.
30. Van de Ven, P., Johansen, T.A., Sørensen, A.J., Flanagan, C., Toal, D., 2004b. Neural network augmented identification of underwater vehicle models. In: IFAC Conference on Control Applications in Marine Systems, July 2004, pp. 263-268.
31. K. Venugopal, R. Sudhakar, and A. Pandya On-line learning control of autonomous underwater vehicles using feedforward neural networks IEEE Journal of Oceanic Engineering 17 1992 308 319
32. Wang, J., Lee, C., 2002. Self-adaptive recurrent neuro-fuzzy control for an autonomous underwater vehicles. In: Proceedings of the 2002 IEEE International Conference on Robotics & Automation, pp. 1095-1100.
33. Wang, J., Lee, C., Yuh, J., 1999a. An on-line self-organizing neuro-fuzzy control for autonomous underwater vehicles. In: Proceedings of the 1999 International Conference on Robotics & Automation, pp. 2416-2421.
34. Wang, J., Lee, C., Yuh, J., 1999b. Self-adaptive neuro-fuzzy control with fuzzy basis function network for autonomous underwater vehicles. In: Proceedings of the 1999 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 130-135.
35. Wang, J., Lee, C., Yuh, J., 2000. Self-adaptive neuro-fuzzy systems with fast parameter learning for autonomous underwater vehicles. In: Proceedings of the 2000 IEEE International Conference on Robotics & Automation, pp. 3861-3866.
36. Yamamoto, I., 1995. Application of neural network to marine vehicle. In: Proceedings of the 1995 IEEE International Conference on Neural Networks, vol. 1. pp. 220-224.
37. J. Yuh A neural net controller for underwater robotic vehicles IEEE Journal of Oceanic Engineering 15 3 1990 161 166
38. J. Yuh Learning control for underwater robotic vehicles IEEE Control Systems Magazine 14 2 1994 39 46
39. J. Yuh, and R. Lakshmi An intelligent control system for remotely operated vehicles IEEE Journal of Oceanic Engineering 18 1 1993 55 62