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On-Line Dynamic Data Reconciliation Incorporating Dynamic Simulation (2007)

Téllez-Schmill, Rodolfo ; Svrcek, William Y ; Young, Brent

Berkeley, Calif. : Berkeley Electronic Press (now: De Gruyter)

Chemical product and process modeling 2 (2007), S. 9

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ISSN: 1934-2659

Source: Berkeley Electronic Press Academic Journals

Topics: Chemistry and Pharmacology , Process Engineering, Biotechnology, Nutrition Technology

Notes: The formulations for dynamic data reconciliation found in the literature assume that the error minimization problem is solved as a non-linear optimization problem constrained by the material and energy balances in the form of time-dependant non-linear differential equations. In this paper we introduce a new approach or an unconstrained formulation of this problem using a dynamic process simulator or model calculator and its potential application to chemical process control.

Type of Medium: Electronic Resource

URL: http://www.bepress.com/cppm/vol2/iss2/9

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