New Developments in Industrial MPC Identification

Abstract In industrial model predictive control (MPC). there is a demand for more efficient model identification methods. In this work we will review some recent developments in industrial MPC identification. The discussion will be around four fundamental issues of industrial identification: 1) test method, 2) parameter estimation, 3) order selection and 4) model validation/selection. Three industrial products will be discussed: 1) RMPCT identification package of Honeywell Hi-Spec Solutions, 2) DMCPlus identification package DMCplus Model of Aspen Technology, and 3) Tai-Ji ID, the identification package of Tai-Ji Control. To show the benefits of modem approaches, two applications of Tai-Ji ID will be presented: an open loop identification of a crude unit and a closed-loop identification of a deethanizer.

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