Experiment design in a bounded-error context: Comparison with D- optimality
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Publication:1262662
DOI10.1016/0005-1098(89)90006-XzbMath0686.62050OpenAlexW2035395596MaRDI QIDQ1262662
Publication date: 1989
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0005-1098(89)90006-x
identificationestimationnoise distributionmeasurement errorsmembershipD- optimalitynew optimality criterionnoise boundsnumber of measurements
Related Items
Minimum-volume ellipsoids containing compact sets: Application to parameter bounding ⋮ Optimal estimation theory for dynamic systems with set membership uncertainty: An overview ⋮ An inverse method for bounded error parameter identification ⋮ Experiment design in a bounded-error context: Comparison with D- optimality ⋮ On the optimal worst-case experiment design for constrained linear systems
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