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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/28108

Title: Application of Resource Allocating Network and Particle Swarm Optimization to ALS
Authors: Jih-Gau Juang;Bo-Shian Lin;Feng-Chu Lin
Contributors: NTOU:Department of Communications Navigation and Control Engineering
Date: 2006
Issue Date: 2011-10-21T02:35:54Z
Publisher: Lecture Notes in Control and Information Sciences
Abstract: abstract:This paper presents two intelligent aircraft automatic landing control schemes that use neural network controller and neural controller with particle swarm optimization to improve the performance of conventional automatic landing systems. Control signals of the aircraft are obtained by resource allocating neural networks. Control gains are selected by particle swarm optimization. Simulation results show that the proposed automatic landing controllers can successfully expand the safety envelope of an aircraft to include severe wind disturbance environments without using the conventional gain scheduling technique.
Relation: 344, pp.252-263
URI: http://ntour.ntou.edu.tw/handle/987654321/28108
Appears in Collections:[通訊與導航工程學系] 期刊論文

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