DocumentCode
291333
Title
On-line training of adaptive neural network controllers
Author
Lima, A.M.N. ; Cavalcanti, J.H.F. ; Deep, G.S.
Author_Institution
Dept. de Engenharia Eletrica, Univ. Federal da Paraiba, Joao Pessoa, Brazil
Volume
2
fYear
1994
fDate
5-9 Sep 1994
Firstpage
1392
Abstract
In this paper, the experimental results obtained with a new algorithm for online training of multilayer neural nets for adaptive speed control of a DC motor are presented. The effect of the number of neurons in the hidden layer on the duration of training phase is discussed. The proposed algorithm does not require any off-line training for the nets
Keywords
DC motors; adaptive control; angular velocity control; learning (artificial intelligence); machine control; neurocontrollers; DC motor; adaptive neural network controllers; adaptive speed control; multilayer neural nets; online training; Adaptive control; Adaptive systems; Artificial neural networks; Digital control; Jacobian matrices; Neural networks; Neurons; Performance gain; Programmable control; Velocity control;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics, Control and Instrumentation, 1994. IECON '94., 20th International Conference on
Conference_Location
Bologna
Print_ISBN
0-7803-1328-3
Type
conf
DOI
10.1109/IECON.1994.397998
Filename
397998
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