Control of Rolling in Ships by Means of Active Fins Governed by a Fuzzy-Logic Controller

Journal of Ship Research

Volumn 45, Issue 4, 2001, Pages 279-288

  Liut, Daniel A ^a   Hughes, Owen F ^b   Mook, Dean T ^b  

^a SAIC FREDERICK INC   (United States)

^b Bradley Department of Electrical and Computer Engineering   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 1842867031     PISSN: 00224502     EISSN: None     Source Type: Journal    
DOI: 10.5957/jsr.2001.45.4.279     Document Type: Article

References (26)

1. BROOMHEAD, D. S. AND LOWE, D. 1988 Multivariable functional interpolation and adaptive networks. Complex Systems, 2, 321-355.
2. FOSSEN, T. I. 1994 Guidance and Control of Ocean Vehicles, John Wiley & Sons, New York 5-26.
3. HEBB, D. O. 1949 The Organization of Behavior: A Neuropsychological Theory, John Wiley & Sons, New York.
4. JANG, J.-S., ROGER 1993 ANFIS: Adaptive-Network-Based Fuzzy Inference Systems. IEEE Transactions on Systems, Man, and Cybernetics, 23, 3, May, 665-685.
5. JANG, J.-S., ROGER, SUN C.-T., AND MIZTUTANI E. 1997 Neuro-Fuzzy and Soft Computing, Prentice Hall, Upper Saddle River, New Jersey, chapters 7, 12 and 15.
6. KOSKO, B. 1992 Neural Networks and Fuzzy Systems, Prentice-Hall, New Jersey, 379-406.
7. KOSKO, B. AND DICKERSON, J. A. 1994 Function approximation with additive fuzzy systems. Theoretical Aspects of Fuzzy Control, H. T. Nguyen, M. Sugeno, R. Tong, and R. Yager, Eds., Wiley, New York, chapter 12.
8. LIN, W. M. AND YUE, D. K. P. 1990 Numerical solutions for large-amplitude ship motions in the time domain. Proceedings, 18th Symposium of Naval Hydrodynamics. The University of Michigan, Ann Arbor, Michigan.
9. LIN, W. M. AND YUE, D. K. P. 1993 Time-domain analysis for floating bodies in mild-slope waves of large amplitude. Proceedings, 8th International Workshop on Water Waves and Floating Bodies, Newfoundland, Canada.
10. LIN, W. M., ZHANG, S., WEEMS, K. M., AND YUE, D. K. P. 1999 A mixed source formulation for nonlinear ship-motion and wave-load simulations. Proceedings, 7th International Conference on Numerical Ship Hydrodynamics, Nantes, France.
11. LIUT, D. A. 1999 Neural-network and fuzzy-logic learning and control of linear and nonlinear dynamic systems. Philosophical dissertation, Virginia Polytechnic Institute and State University, Engineering Science and Mechanics Department.
12. LIUT, D. A., MATHEU, E. V., SINGH, M. P., AND MOOK, D. T. 1998a Neural-network control of building structures. Proceedings, 9th International Conference on Adaptive Structures and Technologies-ICAST'98, Cambridge, Massachusetts, 465-475.
13. LIUT, D. A., MOOK, D. T., VANLANDINGHAM, H. F., AND NAYFEH, A. H. 1998b Control of rolling in ships by means of active fins. 1998 International Mechanical Engineering Congress, Anaheim, California, November 15-20.
14. LIUT, D. A., MOOK, D. T., VANLANDINGHAM, H. EF., AND NAYFEH, A. H. 1999a Control of rolling in ships by means of active fins governed by a neural-network controller. Proceedings, 6th Pan-American Congress of Applied Mechanics (PACAM VI), Pontificia Universidade Católica de Río de Janeiro, Rio de Janeiro, Brazil, 8, 1213-1216.
15. LIUT, D. A., MOOK, D. T., AND VANLANDINGHAM, H. F. 1999b Neural-network and fuzzy-logic control to suppress the rolling motion in ships by means of active fins. ASME Mechanics and Materials Conference, Non-Linear Vibrations and Perturbations Methods, Blacksburg, Virginia, June 27-July 3.
16. LIUT, D. A., MOOK, D. T., VANLANDINGHAM, H. F., AND NAYFEH, A. H. 2000b Roll reduction in ships by means of active fins controlled by a neural network. Ship Technology Research, 47, 2, 79-80.
17. LIUT, D. A., MOOK, D. T., WEEMS, K. M., AND NAYFEH, A. H. 2000 A numerical model of the flow around ship-mounted fin stabilizers. International Shipbuilding Progress, 48, 19-50.
18. MENDEL, J. M. 1995 Fuzzy logic for engineering: a tutorial. Proceedings of the IEEE, 83, 3, March, 368-369.
19. MOODY, J. AND DARKEN, C. 1988 Learning with localized receptive fields. Proceedings, 1988 Connectionist Models Summer School, San Mateo, California, D. Touretzky, G. Hinton, and T. Sejnowski, Eds., Carnegie Mellon University, Morgan Kaufman.
20. MOODY, J. AND DARKEN, C. 1989 Fast learning in networks of locally tuned processing units. Neural Computation, 1, 281-294.
21. RUMELHART, D. E., HINTON, G. E., AND WILLIAMS, R. J. 1986 Learning internal representations by error propagation. Parallel Distributed Processing: Explorations in the Microstructure of Cognition. D. E. Rumelhart and J. L. McClelland, Eds., MIT Press, Cambridge, Massachusetts, 1, chapter 8, 318-362.
22. SUGENO, M. AND KANG, G. T. 1988 Structure identification of fuzzy model. Fuzy Sets and Systems, 28, 15-33.
23. TAKAGI, T. AND SUGENO, M. 1983 Derivation of fuzzy control rules from human operator's control actions. Proceedings, IFAC Symposium on Fuzzy Information, Knowledge, Representation and Decision Analysis, 55-60.
24. TAKAGI, T. AND SUGENO, M. 1985 Fuzzy identification of systems and its applications to modeling and control IEEE Transactions on Systems, Man, and Cybernetics, 15, 116-132.
25. WEEMS, K. M., ZHANG, S., LIN, W. M., SHIN, Y.-S., AND BENNETT, J. 1998 Structural dynamic loadings due to impact and whipping. Proceedings, 7th International Symposium on Practical Design of Ships and Mobile Units, The Hague, The Netherlands.
26. ZADEH, L A. 1965 Fuzzy sets. Information and Control, 8, 338-353.