DocumentCode :
290648
Title :
A neural adaptive controller
Author :
Meyne, Ph. ; Houkari, M. ; Barret, C. ; Martinez, J.M. ; Garassino, A. ; Tormo, P.
Author_Institution :
Lab. de Robotique, Univ. d´´Evry Val d´´Essonne, France
fYear :
1993
fDate :
17-20 Oct 1993
Firstpage :
80
Abstract :
This paper deals with the application of neural techniques to the control of a nonlinear system. The process to be controlled is the opening of a turbofan exhaust nozzle. It exhibits strong nonlinearities and is difficult to control with classic methods. This time we have used an approach inspired by the concepts of indirect adaptive control. The main results assessing this neural controller discussed
Keywords :
adaptive control; backpropagation; feedforward neural nets; industrial control; neurocontrollers; nonlinear control systems; backpropagation; indirect adaptive control; multilayered neural network; neural adaptive controller; neural controller; neural technique application; nonlinear system control; turbofan exhaust nozzle; Adaptive control; Backpropagation; Control systems; Error correction; Multi-layer neural network; Neural networks; Nonlinear control systems; Programmable control; Robot kinematics; Weight control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 1993. 'Systems Engineering in the Service of Humans', Conference Proceedings., International Conference on
Conference_Location :
Le Touquet
Print_ISBN :
0-7803-0911-1
Type :
conf
DOI :
10.1109/ICSMC.1993.390687
Filename :
390687
Link To Document :
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