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

The adaptive neural fuzzy inference system is used to simulate trajectory tracking in aircraft landing operationsmanagement. 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 tomodeling and control, IEEE Transactions on Systems, Man, and Cybernetics 15 (1) (1985) 116–132] with auto-landing flight path data. © 2008 Elsevier Ltd. All rights reserved.