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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40966

Title: Effects of Using Different Neural Network Structures and Cost Functions in Locomotion Control
Authors: Jih-Gau Juang;Kai-Chung Cheng
Contributors: 國立臺灣海洋大學:通訊與導航工程學系
Date: 2001
Issue Date: 2017-02-07T07:57:48Z
Publisher: Control Applications, 2001. (CCA '01). Proceedings of the 2001 IEEE International Conference on
Abstract: Abstract: Neural network applications to aircraft automatic landing control are presented. The automatic landing system of an airplane is enabled only under limited conditions. If severe wind disturbances are encountered, the pilot must handle the aircraft due to the limits of the automatic landing system. This paper presents four different neural network controllers to improve the performance of conventional automatic landing systems based on a linearized control law. The neural network controllers can act as an experienced pilot and guide the aircraft to a safe landing in severe wind disturbance environments. Simulation results show that the neural network controller can be used to successfully replace the conventional autolander.
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40966
Appears in Collections:[通訊與導航工程學系] 演講及研討會

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