Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
469854 | Computers & Mathematics with Applications | 2008 | 6 Pages |
Abstract
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 learning ability 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.
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Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
D.M. Liu, G. Naadimuthu, E.S. Lee,