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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40822

Title: Intelligent Fuzzy Systems for Aircraft Landing Control,
Authors: Jih-Gau Juang;Bo-Shian Lin;Kuo-Chih Chin
Contributors: 國立臺灣海洋大學:通訊與導航工程學系
Date: 2005
Issue Date: 2017-02-07T01:34:17Z
Publisher: International Conference on Fuzzy Systems and Knowledge Discovery
Abstract: Abstract: The purpose of this paper is to investigate the use of evolutionary fuzzy neural systems to aircraft automatic landing control and to make the automatic landing system more intelligent. Three intelligent aircraft automatic landing controllers are presented that use fuzzy-neural controller with BPTT algorithm, hybrid fuzzy-neural controller with adaptive control gains, and fuzzy-neural controller with particle swarm optimization, to improve the performance of conventional automatic landing system. Current flight control law is adopted in the intelligent controller design. Tracking performance and adaptive capability are demonstrated through software simulations.
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40822
Appears in Collections:[通訊與導航工程學系] 期刊論文

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