DocumentCode
1903321
Title
Neural network control of processes with recycle
Author
Slawinski, T. ; Co, T.
Author_Institution
Raytheon Engs. & Constructors, Houston, TX, USA
fYear
1996
fDate
15-18 Sep 1996
Firstpage
384
Lastpage
389
Abstract
Recycles in processing systems can add significant difficulty for feedback control by increasing complexity, nonlinearity and larger time delays. This study explores the use of neural networks to handle the control problems of recycles. The most critical design issue was the decision to include an auxiliary variable: the equilibrium value of the controlled variable, and the training set used
Keywords
chemical technology; delays; feedback; large-scale systems; neurocontrollers; nonlinear control systems; process control; auxiliary variable; complexity; equilibrium value; feedback control; neural network control; nonlinearity; process control; recycles; time delays; Delay effects; Differential algebraic equations; Feedback control; Inductors; Neural networks; Open loop systems; Pressure control; Process control; Recycling; Valves;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control, 1996., Proceedings of the 1996 IEEE International Symposium on
Conference_Location
Dearborn, MI
ISSN
2158-9860
Print_ISBN
0-7803-2978-3
Type
conf
DOI
10.1109/ISIC.1996.556232
Filename
556232
Link To Document