Comparative Analysis of Robust Estimators on Nonlinear Dynamic Data Reconciliation

Abstract

This paper presents a comparative performance analysis of various robust estimators used for nonlinear dynamic data reconciliation process subject to gross errors. Robust estimators based on cost functions derived from robust probability theory reduce the effect of gross errors on the reconciled data, avoiding the traditional iterative requirement… (More)

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