DocumentCode
3308521
Title
Modeling of Pilot Based on Adaptive Neural Fuzzy Inference System
Author
Wenhan, Dong ; Xiuxia, Sun ; Liu Shu Guang ; Hui, Yin
Author_Institution
Eng. Inst., Air Force Eng. Univ., Xian, China
fYear
2012
fDate
12-14 Jan. 2012
Firstpage
210
Lastpage
212
Abstract
Taking advantage of neural network back propagation algorithm and Takagi-Sugeno fuzzy inference system, a kind of pilot model is developed based on adaptive neural fuzzy inference system. A longitudinal man machine systems in air-refueling condition is simulated. The simulation results show that the model presented by our scheme is reasonable and can be used to illustrate the handling behavior of pilot to a great extent.
Keywords
adaptive control; aerospace control; backpropagation; fuzzy reasoning; man-machine systems; neural nets; Takagi-Sugeno fuzzy inference system; adaptive neural fuzzy inference system; air-refueling condition; longitudinal man machine systems; neural network back propagation algorithm; Adaptation models; Adaptive systems; Analytical models; Atmospheric modeling; Humans; Mathematical model; Training; adaptive; fuzzy; neural network; pilot model;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation (ICICTA), 2012 Fifth International Conference on
Conference_Location
Zhangjiajie, Hunan
Print_ISBN
978-1-4673-0470-2
Type
conf
DOI
10.1109/ICICTA.2012.59
Filename
6150224
Link To Document