Improved estimation performance using known linear constraints

DOI10.1016/j.automatica.2004.03.001zbMath1077.93050OpenAlexW1996790278MaRDI QIDQ705143

Torsten Söderström, Kaushik Mahata

Publication date: 26 January 2005

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2004.03.001

zbMATH Keywords

linear constraintsstatistical analysisvariable projection

Mathematics Subject Classification ID

Point estimation (62F10) Parametric inference under constraints (62F30) System identification (93B30) Estimation and detection in stochastic control theory (93E10)

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Cites Work

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• On covariance function tests used in system identification
• Analysis of subspace fitting and ML techniques for parameter estimation from sensor array data
• On the Perturbation of Pseudo-Inverses, Projections and Linear Least Squares Problems
• Model Updating In Structural Dynamics: A Survey
• The Differentiation of Pseudo-Inverses and Nonlinear Least Squares Problems Whose Variables Separate
• Non-parametric identification of viscoelastic materials from wave propagatio experiments