(2003) “Closed Loop Identification with Model Predictive Control: A Case Study”. In: Proceedings of the Society of Instrument and Control Engineers, 2003, Japan.

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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:	Conference or Workshop Item (Paper)
Subjects:	Electrical
Department:	College of Engineering and Physics > Electrical Engineering
Depositing User:	AYHAM ZAZA
Date Deposited:	07 May 2008 11:43
Last Modified:	01 Nov 2019 13:26
URI:	http://eprints.kfupm.edu.sa/id/eprint/1253