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On the choice of inputs in identification for robust control

Antoulas, A C; Anderson, Brian


The thesis that noisy identification has close ties to the study of the singular-value decomposition of perturbed matrices is investigated. In particular by assuming an upper bound on the norm of the perturbation, one can obtain a convex parametrization of an uncertain family of systems which contains the system generating the data. In this approach, the second-smallest singular value σ* of an appropriately defined data matrix becomes a quantity of importance as it provides an upper bound for...[Show more]

CollectionsANU Research Publications
Date published: 1999
Type: Journal article
Source: Automatica
DOI: 10.1016/S0005-1098(99)00002-3


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