http://scholars.ntou.edu.tw/handle/123456789/18066
Title: | Adaptive Fuzzy Neural Network Control for Automatic Landing System | Authors: | Jih-Gau Juang Li-Hsiang Chien |
Issue Date: | 2010 | Journal Volume: | 6421 | Start page/Pages: | 520-530 | Source: | Lecture Notes in Artificial Intelligence | 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. |
URI: | http://scholars.ntou.edu.tw/handle/123456789/18066 | ISBN: | 978-3-642-16692-1 | DOI: | 10.1007/978-3-642-16693-8_53 |
Appears in Collections: | 通訊與導航工程學系 |
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