Closed loop identification with model predictive control: a case study

(2003) Closed loop identification with model predictive control: a case study. SICE 2003 Annual Conference, 1.

[img]
Preview
PDF
14506_1.pdf

Download (18kB) | Preview
[img] Microsoft Word
14506_2.doc

Download (26kB)

Abstract

Closed loop identification techniques based on autoregressive models (ARMA), state space models and neural networks for multivariable processes with MPC are investigated. The techniques are tested through computer simulations and ultimately on field data from a gas plant in Saudi Arabia, where MPC application is most challenging and perhaps most beneficial.

Item Type: Article
Subjects: Computer
Divisions: College Of Engineering Sciences > Electrical Engineering Dept
Depositing User: Mr. Admin Admin
Date Deposited: 24 Jun 2008 16:38
Last Modified: 01 Nov 2019 17:06
URI: http://eprints.kfupm.edu.sa/id/eprint/14506