Name
Title | ||
|---|---|---|
Trajectory tracking in aircraft landing operations management using the adaptive neural fuzzy inference system |
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. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1016/j.camwa.2007.11.052 | Computers & Mathematics with Applications |
Keywords | Field | DocType |
adaptive neural fuzzy inference system,fuzzy sets,fuzzy identification,fuzzy set,neural network,ieee transactions,trajectory tracking,approximate linguistic representation,m. sugeno,adaptive neural fuzzy inference,linguistic representation ability,auto-landing flight path data,aircraft landing,order takagi-sugeno inference system,aircraft landing operations management,first order,operations management | Neuro-fuzzy,Defuzzification,Fuzzy classification,Computer science,Fuzzy set operations,Fuzzy set,Fuzzy control system,Adaptive neuro fuzzy inference system,Artificial neural network,Operations management | Journal |
Volume | Issue | ISSN |
56 | 5 | Computers and Mathematics with Applications |
Citations | PageRank | References |
5 | 0.49 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| D. M. Liu | 1 | 10 | 1.58 |
| G. Naadimuthu | 2 | 11 | 2.65 |
| E. S. Lee | 3 | 5 | 0.49 |