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• W2009202395 abstract "This paper discusses the empirical modeling using system identification technique with a focus on an interacting series process. The study is carried out experimentally using a gaseous pilot plant as the process, in which the dynamic of such a plant exhibits the typical dynamic of an interacting series process. Three practical approaches are investigated and their performances are evaluated. The models developed are also examined in real-time implementation of a linear model predictive control. The selected model is able to reproduce the main dynamic characteristics of the plant in open-loop and produces zero steady-state errors in closed-loop control system. Several issues concerning the identification process and the construction of a MIMO state space model for a series interacting process are deliberated." @default.
• W2009202395 created "2016-06-24" @default.
• W2009202395 creator A5064013378 @default.
• W2009202395 creator A5088082527 @default.
• W2009202395 date "2010-07-01" @default.
• W2009202395 modified "2023-10-17" @default.
• W2009202395 title "MIMO model of an interacting series process for Robust MPC via System Identification" @default.
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• W2009202395 doi "https://doi.org/10.1016/j.isatra.2010.02.005" @default.
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