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