Variance of Estimates in Dynamic Data Reconciliation

Abstract The method previously proposed to estimate the uncertainty of validated variables in steady state data reconciliation has been extended to dynamic data reconciliation. The approach used in this article to estimate a posteriori variances in the case of dynamic date validation is based on the one described in [2] for the stationary case. Orthogonal collocations are used to discretise ODE. Results are presented for an adiabatic reactor with first order kinetic.