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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/28173

Title: Intelligent Fuzzy Systems for Aircraft Landing Control
Authors: Jih-Gau Juang;Bo-Shian Lin;Kuo-Chih Chin
Contributors: NTOU:Department of Communications Navigation and Control Engineering
Date: 2005
Issue Date: 2011-10-21T02:36:06Z
Publisher: Lecture Notes in Artificial Intelligence
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.
Relation: 3613, pp.851-860
URI: http://ntour.ntou.edu.tw/handle/987654321/28173
Appears in Collections:[通訊與導航工程學系] 期刊論文

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