26th Congress of International Council of the Aeronautical Sciences
including the 8th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference
14 - 19 September 2008, Anchorage, Alaska, USA
Paper ICAS 2008-5.1.3

MODELING OF THE VISUAL APPROACH TO LANDING USING NEURAL NETWORKS AND FUZZY SUPERVISORY CONTROL

J. O. Entzinger
Univ. of Tokyo, Japan

Keywords: Pilot modeling, aircraft landing, visual perception, neural networks, fuzzy logic

Human control in aircraft landing is modeled to get a better understanding of the pilot's cognitive and decision making processes. The model can be used to give specific feedback in training. Softcomputing algorithms (like fuzzy logic and neural networks) are applied to obtain a model with high interpretability.

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