Title :
Neural networks for real-time control
Author_Institution :
Center for Syst. Sci., Yale Univ., New Haven, CT, USA
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;
Conference_Titel :
Decision and Control, 1997., Proceedings of the 36th IEEE Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4187-2
DOI :
10.1109/CDC.1997.657581
