Cart (Loading....) | Create Account
Close category search window

Classical vs. neural network control: an industrial application

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Moncada, R., V ; Dept. de Procesos y Sistemas, Simon Bolivar Univ., Caracas, Venezuela ; de Castillo, M.U.

A comparison between a conventional PI control vs. a multilayered neural network (MNN) scheme over an industrial process is presented. The process is a distillation column which has a conventional temperature feedback control loop. Also taken under consideration is the first order dynamic of a thermowell with which the temperature of the third stage of the column is measured. The control action takes place 5 minutes after startup of the process. Two kinds of networks were used: one with three layers and another with four layers, all trained under the back-propagation learning algorithm

Published in:

Systems, Man, and Cybernetics, 1994. Humans, Information and Technology., 1994 IEEE International Conference on  (Volume:3 )

Date of Conference:

2-5 Oct 1994

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.