Closed loop subspace system identification
We present a general framework for closed loop subspace system identification. This framework consists of two new projection theorems which allow the extraction of non-steady state Kalman filter states and of system related matrices directly from input output data. Three algorithms for the identific...
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Published in | Proceedings of the 36th IEEE Conference on Decision and Control Vol. 2; pp. 1848 - 1853 vol.2 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
1997
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Subjects | |
Online Access | Get full text |
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