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Linear Algorithms for Worst Case Identification in H<sup>infinity</sup> with Applications to Flexible Structures

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dc.contributor.author Gu, G. en_US
dc.contributor.author Chu, C. en_US
dc.contributor.author Kim, G. en_US
dc.date.accessioned 2004-10-05T21:40:23Z
dc.date.available 2004-10-05T21:40:23Z
dc.date.issued 1994
dc.identifier.clearanceno 94-0523
dc.identifier.uri http://hdl.handle.net/2014/33793
dc.description.abstract This paper is concerned with linear algorithms for identification in which have been studied in [9]. It is shown that the two different linear algorithms in [9] can be unified into a single one which can be further extended to nonuniformly spaced frequency response samples with exponential convergence for the noise free case. Improved upper bounds for the corresponding identification errors are derived. Applications to the identification of lightly damped systems such as flexible structures are also considered. en_US
dc.format.extent 726770 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.subject.other linear algorithms en_US
dc.title Linear Algorithms for Worst Case Identification in H<sup>infinity</sup> with Applications to Flexible Structures en_US


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