Influence of the moving window parameters on a posteriori standard deviations of estimated variables in dynamic data reconciliation

摘要

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 [4]. Orthogonal collocations are used to discretize ODE. The influence of the window parameters on posteriori variances is studied. Results are presented for a perfectly mixed reactor with heat exchange and first order kinetic.