Trajectory tracking in aircraft landing operations management using the adaptive neural fuzzy inference system

被引：12
|
作者：
Liu, D. M. [2 ]
Naadimuthu, G. [1 ]
Lee, E. S. [2 ]
机构：
[1] Fairleigh Dickinson Univ, Silberman Coll Business, Dept Informat Syst & Decis Sci, Madison, NJ 07940 USA
[2] Kansas State Univ, Dept Ind & Mfg Syst Engn, Manhattan, KS 66506 USA
来源：
COMPUTERS & MATHEMATICS WITH APPLICATIONS | 2008年 / 56卷 / 05期
关键词：
adaptive neural fuzzy inference system; aircraft landing; trajectory tracking; fuzzy sets; neural network;
D O I：
10.1016/j.camwa.2007.11.052
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
The adaptive neural fuzzy inference system is used to simulate trajectory tracking in aircraft landing operations management. The advantage of the approach is that by using the linguistic representation ability of fuzzy sets and the learningability of neural networks, the approximate linguistic representations can be improved or updated as more data become available. This approach is illustrated by the use of both zero and first order Takagi-Sugeno inference systems [T. Takagi, M. Sugeno, Fuzzy identification of systems and its application to modeling and control, IEEE Transactions on Systems, Man, and Cybernetics 15 (1) (1985) 116-132] with auto-landing flight path data. (c) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码：1322 / 1327
页数：6
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