DocumentCode
326782
Title
Nonlinear aircraft control using a minimal radial basis function neural network
Author
Nigel, Chua Boon Hong ; Sundararajan, N. ; Saratchandran, P.
Author_Institution
Sch. of Electr. & Electron. Eng., Nanyang Technol. Inst., Singapore
Volume
4
fYear
1998
fDate
21-26 Jun 1998
Firstpage
2589
Abstract
A nonlinear inverse flight controller for fighter aircraft is designed using the minimal resource allocation neural network (MRAN) learning algorithm. MRAN has been shown to produce a minimal radial basis function network. The performance of the MRAN controller for the F8 aircraft is highlighted for following pilot commands
Keywords
aircraft control; feedforward neural nets; military aircraft; neurocontrollers; nonlinear control systems; F8 aircraft; fighter aircraft; minimal radial basis function neural network; minimal resource allocation neural network learning algorithm; nonlinear inverse flight controller; pilot commands; Aerospace control; Aerospace electronics; Aircraft propulsion; Mathematical model; Military aircraft; Neural networks; Neurofeedback; Radial basis function networks; Resource management; State feedback;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 1998. Proceedings of the 1998
Conference_Location
Philadelphia, PA
ISSN
0743-1619
Print_ISBN
0-7803-4530-4
Type
conf
DOI
10.1109/ACC.1998.703102
Filename
703102
Link To Document