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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/28342

Title: Adaptive Fuzzy Neural Network Control for Automatic Landing System
Authors: Jih-Gau Juang;Li-Hsiang Chien
Contributors: NTOU:Department of Communications Navigation and Control Engineering
Date: 2010
Issue Date: 2011-10-21T02:37:12Z
Publisher: Lecture Notes in Artificial Intelligence
Abstract: abstract:This paper presents an intelligent automatic landing system that uses adaptive fuzzy neural network controller to improve the performance of conventional automatic landing systems. Functional fuzzy rules are implemented in neural network. In this study, Lyapunov stability theory is utilized to derive adaptive learning rate in the controller design. Stability of the control system is guaranteed. Simulation results show that the fuzzy neural network controller with adaptive learning rate has better performance than PID controller in guiding aircraft to a safe landing in turbulence condition.
Relation: 6421, pp.520-530
URI: http://ntour.ntou.edu.tw/handle/987654321/28342
Appears in Collections:[通訊與導航工程學系] 期刊論文

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