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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/28043

Title: Automatic Landing System Using Adaptive Resource Allocating Network
Authors: Jih-Gau Juang;Li-Hsiang Chien
Contributors: NTOU:Department of Communications Navigation and Control Engineering
Date: 2008-06-18
Issue Date: 2011-10-21T02:35:41Z
Publisher: The 3rd Intetnational Conference on Innovative Computing Information and Control (ICICIC'08)
Abstract: Abstract:This paper presents an adaptive resource allocating network (ARAN) deign to improve the performance of conventional automatic landing system (ALS) and guide the aircraft to a safe landing. Real-time learning is applied to train the ARAN that uses gradient-descent of the error function with respect to the weights to perform the weights updates. Adaptive learning rates are obtained through the Lyapunov stability analysis. Convergence of learning is guaranteed. Simulations show that the proposed scheme has better performance than the conventional ALS.
Relation: pp.368
URI: http://ntour.ntou.edu.tw/handle/987654321/28043
Appears in Collections:[通訊與導航工程學系] 演講及研討會

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