A robust stochastic identification algorithm in the presence of outliers

Abstract

In this paper, an optimization-oriented approach is proposed for parameter identifications in the presence of outliers. The proposed approach assumes minimum statistical a priori information on the unknown outliers and is convergent. An efficient numerical algorithm is presented to implement the approach along with its convergence and complexity results.