DocumentCode
3621742
Title
Neural networks in control systems
Author
S. Saksida;F. Bremsak
Author_Institution
Fac. of Electr. & Comput. Eng., Ljubljana Univ., Yugoslavia
fYear
1991
fDate
6/13/1905 12:00:00 AM
Firstpage
816
Abstract
A modified backpropagation algorithm with a linear output function is discussed from the viewpoint of its convenience in control tasks. Two methods are presented for teaching neural networks to act as an inverse plant. In the simulation example a discrete integrator was used as the plant. The best results were obtained by a combination of both methods.
Keywords
"Neural networks","Intelligent networks","Control systems","Neurons","Artificial neural networks","Pattern recognition","Transfer functions","Backpropagation algorithms","Signal generators","H infinity control"
Publisher
ieee
Conference_Titel
Electrotechnical Conference, 1991. Proceedings., 6th Mediterranean
Print_ISBN
0-87942-655-1
Type
conf
DOI
10.1109/MELCON.1991.161966
Filename
161966
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