DocumentCode
3075373
Title
Neural network based process optimization and control
Author
Sofge, Donald A. ; White, David A.
Author_Institution
McDonnell Douglas Corp., St. Louis, MO, USA
fYear
1990
fDate
5-7 Dec 1990
Firstpage
3270
Abstract
The authors present, compare, and contrast several neurocontrol systems for controlling and optimizing the manufacture of thermoplastic composite structures. Attention is given to direct-inverse neurocontrol for manufacturing and adaptive-critic-based manufacturing neurocontrol. In particular, adaptive critic neurocontrol systems that are capable of online learning and process optimization have been demonstrated in simulation
Keywords
adaptive systems; chemical industry; learning systems; neural nets; process computer control; adaptive critic neurocontrol systems; adaptive systems; chemical industry; learning systems; neural nets; online learning; process computer control; process optimization; thermoplastic composite structures; Cameras; Control systems; Manufacturing processes; Neural networks; Neurofeedback; Noise robustness; Process control; Signal processing; Temperature sensors; Voltage control;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1990., Proceedings of the 29th IEEE Conference on
Conference_Location
Honolulu, HI
Type
conf
DOI
10.1109/CDC.1990.203400
Filename
203400
Link To Document