Identification of the maximal number of linear relations from noisy data

DOI10.1016/0167-6911(94)00006-HzbMath0877.93131MaRDI QIDQ673887

Roberto P. Guidorzi

Publication date: 28 February 1997

Published in: Systems \& Control Letters (Search for Journal in Brave)

zbMATH Keywords

Linear algebraSystem identificationFrisch schemeParameter estimationLinear systemslinear relations

Mathematics Subject Classification ID

Linear systems in control theory (93C05) Identification in stochastic control theory (93E12)

Related Items (5)

Direction–of–Arrival Estimation in Nonuniform Noise Fields: A Frisch Scheme Approach ⋮ Unnamed Item ⋮ Identification of static errors-in-variables models: The rank reducibility problem ⋮ Errors-in-variables methods in system identification ⋮ Linear Models Based on Noisy Data and the Frisch Scheme

Cites Work

• An upper bound on the number of linear relations identified from noisy data by the Frisch scheme
• The Frisch scheme in dynamic system identification
• Unnamed Item
• Unnamed Item

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