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• W1986110858 abstract "In industrial process control engineering, using routine operating data obtained from closed-loop operation of a process for model identification would be extremely valuable in applications such as control performance monitoring, root cause diagnosis, and controller retuning. However, the conditions for closed-loop identifiability using routine operating data are still largely unknown or untried. In this paper, criteria for closed-loop identification of an autoregressive, moving average process with exogenous input (ARMAX) regulated with an arbitrary, rational, polynomial controller are derived. The theoretical criteria that are developed for the closed-loop identification of an ARMAX process are compared with Monte Carlo simulations and previous theoretical results. It is shown that the newly-proposed theoretical results are in agreement with the simulation results." @default.
• W1986110858 created "2016-06-24" @default.
• W1986110858 creator A5001471659 @default.
• W1986110858 creator A5071540194 @default.
• W1986110858 date "2011-07-01" @default.
• W1986110858 modified "2023-10-10" @default.
• W1986110858 title "Closed-loop identification condition for ARMAX models using routine operating data" @default.
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• W1986110858 doi "https://doi.org/10.1016/j.automatica.2011.04.006" @default.
• W1986110858 hasPublicationYear "2011" @default.
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