Closed and Open Loop Subspace System Identification of the Kalman Filter

Some methods for consistent closed loop subspace system identication presented in the literature are analyzed and compared to a recently published subspace algorithm for both open as well as for closed loop data, the DSR e algorithm. Some new variants of this algorithm are presented and discussed. Simulation experiments are included in order to illustrate if the algorithms are variance ecient or not.

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