On the accuracy in errors-in-variables identification compared to prediction-error identification

DOI10.1016/j.automatica.2011.09.002zbMath1235.93072OpenAlexW2052856927MaRDI QIDQ665203

Cristian R. Rojas, Jonas Mårtensson, Håkan Hjalmarsson, Torsten Söderström

Publication date: 5 March 2012

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2011.09.002

zbMATH Keywords

system identificationaccuracy of identificationasymptotic variance expressionserror-in-variables identification

Mathematics Subject Classification ID

System identification (93B30) Geometric methods (93B27)

Related Items (5)

Finite model order accuracy in Hammerstein model estimation ⋮ Noise covariance estimation via autocovariance least-squares with deadbeat filters ⋮ A numerical investigation of direct and indirect closed-loop architectures for estimating nonminimum-phase zeros ⋮ Covariance analysis in SISO linear systems identification ⋮ Recursive least squares estimation algorithm applied to a class of linear-in-parameters output error moving average systems

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• On the frequency domain accuracy of closed-loop estimates
• A Geometric Approach to Variance Analysis in System Identification
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• Asymptotic variance expressions for closed-loop identification

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