DocumentCode
416478
Title
Closed loop identification with model predictive control: a case study
Author
Amjad, Shiraz ; Al-Duwaish, H.N.
Author_Institution
King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia
Volume
1
fYear
2003
fDate
4-6 Aug. 2003
Firstpage
144
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.
Keywords
autoregressive moving average processes; closed loop systems; identification; multivariable systems; predictive control; state-space methods; ARMA; autoregressive models; closed loop identification; model predictive control; multivariable processes; neural networks; state space models;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE 2003 Annual Conference
Conference_Location
Fukui, Japan
Print_ISBN
0-7803-8352-4
Type
conf
Filename
1323330
Link To Document