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    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.

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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: Article
    Subjects: Computer
    Department: College of Engineering and Physics > Electrical Engineering
    Depositing User: Mr. Admin Admin
    Date Deposited: 24 Jun 2008 13:38
    Last Modified: 01 Nov 2019 14:06
    URI: http://eprints.kfupm.edu.sa/id/eprint/14506