Analysis of human-pilot control inputs using neural network

Journal of Aircraft

Volumn 43, Issue 3, 2006, Pages 793-798

  Suzuki, Shinji ^a,d,e   Sakamoto, Yuki ^a,d   Sanematsu, Youhei ^b,f   Takahara, Hiroshi ^c,g  

^a UNIVERSITY OF TOKYO   (Japan)

^b MITSUBISHI ELECTRIC CORPORATION   (Japan)

^c All Nippon Airways   (Japan)

^d Department of Aeronautics and Astronautics ^*  (Japan)

^e AIAA   (United States)

^f Aerodynamics Guidance and Control Section   (Japan)

^g 3 3 2 Haneda Airport

Author keywords

[No Author keywords available]

Indexed keywords

AIRCRAFT; FLIGHT SIMULATORS; GENETIC ALGORITHMS; NEURAL NETWORKS; PERSONAL COMPUTERS; SENSITIVITY ANALYSIS;

AIRCRAFT STATE VARIABLES; CONTROL INPUTS; HUMAN-PILOT CONTROL; NEURAL-NETWORK-MODELING APPROACH;

CONTROL SYSTEMS;

EID: 33746134384     PISSN: 00218669     EISSN: 15333868     Source Type: Journal    
DOI: 10.1111/j.1528-1167.2006.00528.x     Document Type: Article

References (16)

1. Gibson, J. J., The Perception of the Visual World, Houghton Mifflin, Boston, 1950.
2. Okamoto, H., Kawakami, S., Saito, H., Hida, E., Odajima, K., Tamanoi, D., and Ohno, H., "MT Neurons In the Macaque Exhibited Two Types of Bimodal Direction Tuning as Predicted by a Model for Visual Motion Detection," Vision Research, Vol. 39, No. 20, 1999, pp. 3465-3479.
3. Schmidt, D. K., and Silk, A. B., "Modeling Human Perception and Estimation of Kinematic Responses During Aircraft Landing," Proceedings of the Guidance, Navigation, and Control Conference (Minneapolis MN), AIAA, Washington, DC, 1988, pp. 1117-1126.
4. Kuriki, Y., Suzuki, S., Uemura, T., and Kitaki, Y., "Research on State Estimation of Pilot in Landing Aircraft," Journal of the Japan Society for Aeronautical and Space Sciences, Vol. 49, No. 571, 2001, pp. 246-254 (in Japanese).
5. Arbib, M. A., Brains, Machines and Mathematics, 2nd ed., Springer Verlag, New York, 1987.
6. Holland, J., Adaptation and Natural and Artificial System, Univ. of Michigan Press, Ann Arbor, MI, 1975.
7. Kageyama, I., and Arai, A., "Research on Driver's Information Process at Accident-Prone Area," The 7th Transportation and Logistics Conference 2003, Japanese Society of Mechanical Engineers, Tokyo, pp. 227-230 (in Japanese).
8. Martens, D., "Neural Networks as a Tool for Assessment of Human Pilot Behavior in Wind Shear," Aerospace Science and Technology, No. 1, 1999, pp. 39-48.
9. Hayashi, K., Suzuki, S., and Uemura, T., "Analysis of Human Pilot Behavior at Landing with Neural Network," Journal of the Japan Society for Aeronautical and Space Sciences, Vol. 49, No. 564, 2001, pp. 21-26 (in Japanese).
10. Suzuki, S., Hayashi, K., and Uemura, T., "Analysis of Human Pilot Behavior at Landing with Neural Network 2nd Report," Journal of the Japan Society for Aeronautical and Space Sciences, Vol. 51, No. 590, 2003, pp. 109-113 (in Japanese).
11. Emmenon, M. D., and Damper, R. I., "Determining and Improving the Fault Tolerance of Mutilayer Perception In a Pattern-Recognition Application," IEEE Transactions on Neural Networks, Vol. 4, No. 5, 1993, pp. 788-793.
12. Neti, C., Schneider, M. H., and Young, E. D., "Maximally Fault-Tolerant Neural Networks," IEEE Transactions on Neural Networks, Vol. 3, No. 1, 1992, pp. 14-23.
13. Tan, Y., and Nanya, T., "Fault-Tolerant Back-Propagation Model and Its Generalization Ability," Proceedings of International Joint Conference Neural Networks, IEEE Publications, Piscataway, NJ, 1993, pp. 2516-2519.
14. Ham, F. M., and Kostanic, I., Principles of Neurocomputing for Science and Engineering, McGraw-Hill, New York, 2001.
15. Heffley, R, K., and Jewell, W. F., "Aircraft Handling Qualities Data," NASA CR-2144, 1972.
16. Takahara, H., Kondo, T., and Suzuki, S., "Study of Landing Technique During Visual Approach," ICAS2004-7.11.2, ICAS, Stockholm, Aug.-Sept. 2004.