Scheduled System Maintenance:
Some services will be unavailable Sunday, March 29th through Monday, March 30th. We apologize for the inconvenience.
By Topic

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.

The purchase and pricing options are temporarily unavailable. Please try again later.
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