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Please use this identifier to cite or link to this item: http://hdl.handle.net/2014/35089

Title: Multivariable State-Space Identification in the Delta and Shift Operators
Authors: Bayard, David S.
Issue Date: 2-Jun-1993
Citation: San Francisco, California, USA
Abstract: This paper develops algorithms for multivariable state-space identification which can be used to estimate models in any operator of interest i.e., delta-rule, shift, Laplace s, etc. The approach is based on the State-Space from Frequency Data (SSFD) algorithm which was designed specifically to eliminate distortions from windowing effects.
URI: http://hdl.handle.net/2014/35089
Appears in Collections:JPL TRS 1992+

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