DocumentCode
2153279
Title
ANN based MARC controller design for an Industrial Chemical process
Author
Devadhas, G. Glan ; Pushpakumar, S. ; Prabha, D. M Mary Synthia Regis
Author_Institution
Dept. of EIE, N.I. Centre for Higher Educ., Kumaracoil, India
fYear
2012
fDate
21-22 March 2012
Firstpage
375
Lastpage
382
Abstract
This work aims to develop an Artificial Neural Network based Model Reference Adaptive Control strategy for an Industrial Process. The inherent advantage of the Neural Network to adapt in real time together with the effectiveness of Model Reference Adaptive control is utilized in the control of Industrial Chemical process.
Keywords
chemical reactors; industrial control; model reference adaptive control systems; neurocontrollers; ANN based MARC controller design; CSTR process; artificial neural network; continuous stirred-tank reactor; industrial chemical process; model reference adaptive control strategy; Adaptation models; Artificial neural networks; Equations; Mathematical model; ANN; Adaptive; CSTR process; MARC;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing, Electronics and Electrical Technologies (ICCEET), 2012 International Conference on
Conference_Location
Kumaracoil
Print_ISBN
978-1-4673-0211-1
Type
conf
DOI
10.1109/ICCEET.2012.6203862
Filename
6203862
Link To Document