Identification of static errors-in-variables models: The rank reducibility problem

DOI10.1016/S0005-1098(01)00057-7zbMath0984.93013MaRDI QIDQ5939334

Umberto Soverini, Sergio Beghelli

Publication date: 5 May 2002

Published in: Automatica (Search for Journal in Brave)

zbMATH Keywords

identificationerrors in variablesFrisch schemelinear regression

Mathematics Subject Classification ID

System identification (93B30)

Related Items (1)

Direction–of–Arrival Estimation in Nonuniform Noise Fields: A Frisch Scheme Approach

Cites Work

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• An upper bound on the number of linear relations identified from noisy data by the Frisch scheme
• Identification of the maximal number of linear relations from noisy data
• The Frisch scheme in dynamic system identification
• Rank-reducibility of a symmetric matrix and sampling theory of minimum trace factor analysis
• Identification of scalar errors-in-variables models with dynamics
• Dynamic errors-in-variables systems with three variables
• Frequency-domain system identification using non-parametric noise models estimated from a small number of data sets
• The rank of reduced dispersion matrices
• Solution set properties for static errors-in-variables problems

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