DocumentCode :
2254534
Title :
Experimental comparison of a novel, simple, neural network controller and linear model based controllers
Author :
Dutta, P. ; Rhinehart, R. Russell
Author_Institution :
Dept. of Chem. Eng., Texas Tech. Univ., Lubbock, TX, USA
Volume :
3
fYear :
1995
fDate :
21-23 Jun 1995
Firstpage :
1787
Abstract :
This paper demonstrates a novel approach for process control that uses neural networks to model the steady-state inverse of an electrically heated feed preheater. It is compared to conventional proportional-integral internal model and model predictive controllers
Keywords :
electric heating; feedforward neural nets; neurocontrollers; process control; transfer functions; electrically heated feed preheater; feedforward neural networks; hyperbolic tangent transfer function; linear model based controllers; neural network controller; process control; steady-state inverse; Feeds; Filters; Inverse problems; Neural networks; Predictive models; Proportional control; Resistance heating; Steady-state; Temperature control; Tuning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, Proceedings of the 1995
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2445-5
Type :
conf
DOI :
10.1109/ACC.1995.531192
Filename :
531192
Link To Document :
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