Tight error bounds for projection algorithms in conditional set membership estimation

DOI10.1016/S0167-6911(99)00034-1zbMath0948.93018WikidataQ127497556 ScholiaQ127497556MaRDI QIDQ1960633

Andrea Garulli

Publication date: 12 January 2000

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

zbMATH Keywords

identificationestimationset membershipbounded errorsprojection algorithms

Mathematics Subject Classification ID

System identification (93B30)

Related Items (2)

Set-membership errors-in-variables identification of MIMO linear systems ⋮ One-shot set-membership identification of generalized Hammerstein-Wiener systems

Cites Work

• Identification and application of bounded-parameter models
• Conditionally optimal algorithms and estimation of reduced order models
• On the value of information in system identification-bounded noise case
• Optimal estimation theory for dynamic systems with set membership uncertainty: An overview
• Reliability of projection algorithms in conditional estimation
• Optimal induced-norm and set membership state smoothing and filtering for linear systems with bounded disturbances
• Model quality evaluation in set membership identification
• Quantifying the error in estimated transfer functions with application to model order selection
• Sequential approximation of feasible parameter sets for identification with set membership uncertainty
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