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Share full text access. Please review our Terms and Conditions of Use and check box below to share full-text version of article. Subspace identification methods [3] are based on the geometric projections and these methods exploit the row or the column subspace of a certain matrix to obtain the state-space matrices of an identified system.

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System identification using Laguerre models. System identification using Kautz models. Van Overschee and B. De Moor. Furthermore, an algorithm for consistent closed loop subspace estimation is presented. This algorithm is using the controller parameters in order to overcome the bias problem. Arakaki, C.

Ratnayake and D.

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Di Ruscio , doi: Nilsen and David Di Ruscio , doi: Johansen and Sigurd Skogestad , doi: Aoki and A. Subspace Identification for linear Systems: theory-implementation-applications, Kluwer Academic Publishers. Closed loop subspace system identification, Internal report.