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