Abstract

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.

Recommended Citation

Téllez-Schmill, Rodolfo; Svrcek, William Y.; and Young, Brent (2007) "On-Line Dynamic Data Reconciliation Incorporating Dynamic Simulation," Chemical Product and Process Modeling: Vol. 2 : Iss. 2, Article 9.
DOI: 10.2202/1934-2659.1072
Available at: http://www.bepress.com/cppm/vol2/iss2/9