Model reduction via balanced realizations: an extension andfrequency weighting techniques

(1988) Model reduction via balanced realizations: an extension andfrequency weighting techniques. Automatic Control, IEEE Transactions on, 33.

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Abstract

Two model-reduction methods for discrete systems related to balanced realizations are described. The first is a technique which utilizes the least controllable and observable subsystem in deriving a balanced discrete reduced-order model. For this technique as L ∞ norm bound on the reduction error is given. The second method is a frequency-weighting technique for discrete- and continuous-time systems where the input-normal or output-normal realizations are modified to include a simple frequency weighting. For this technique, L∞ norm bounds on the weighted reduction errors are obtained

Item Type: Article
Subjects: Computer
Department: College of Engineering and Physics > Electrical Engineering
Depositing User: Mr. Admin Admin
Date Deposited: 24 Jun 2008 13:28
Last Modified: 01 Nov 2019 14:04
URI: https://eprints.kfupm.edu.sa/id/eprint/14253