DocumentCode
321231
Title
Neural networks for real-time control
Author
Narendra, K.S.
Author_Institution
Center for Syst. Sci., Yale Univ., New Haven, CT, USA
Volume
2
fYear
1997
fDate
10-12 Dec 1997
Firstpage
1026
Abstract
The paper briefly reviews the status of control theory and practice using neural networks, and discusses some of the questions that have to be addressed if neural networks are to be used in real-time control
Keywords
discrete time systems; industrial control; neurocontrollers; nonlinear dynamical systems; real-time systems; robust control; discrete time systems; industrial control; neural networks; neurocontrol; nonlinear dynamical systems; real-time control; robust control; Artificial neural networks; Control system synthesis; Control theory; Feedforward neural networks; Function approximation; Linear systems; Mathematical model; Multi-layer neural network; Neural networks; Pattern recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1997., Proceedings of the 36th IEEE Conference on
Conference_Location
San Diego, CA
ISSN
0191-2216
Print_ISBN
0-7803-4187-2
Type
conf
DOI
10.1109/CDC.1997.657581
Filename
657581
Link To Document