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Average state estimation in presence of outliers

Ujjwal Pratap 1 Carlos Canudas de Wit 1 Federica Garin 1
1 NECS-POST - Systèmes Commandés en Réseau
Inria Grenoble - Rhône-Alpes, GIPSA-PAD - GIPSA Pôle Automatique et Diagnostic
Abstract : This paper addresses the problem of estimation of the average state of an LTI network system where measurements of only some of the states are available. We consider the case where there is an outlier among the unmeasured states, which is so different from the remaining states that it affects the average value significantly. The goal of this paper is to detect the outlier and to estimate the average of the unmeasured states excluding the outlier.
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Submitted on : Friday, August 28, 2020 - 4:35:48 PM
Last modification on : Wednesday, November 3, 2021 - 4:26:14 AM
Long-term archiving on: : Sunday, November 29, 2020 - 12:50:38 PM

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Ujjwal Pratap, Carlos Canudas de Wit, Federica Garin. Average state estimation in presence of outliers. CDC 2020 - 59th IEEE Conference on Decision and Control, IEEE, Dec 2020, Jeju Island (virtual), South Korea. ⟨hal-02925053⟩

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