Subspace Identification Using the Parity Space
نویسندگان
چکیده
It is known that most subspace identification algorithms give biased estimates for closed-loop data due to a projection performed in the algorithms. In this work, consistency analysis of SIMPCA is given and the exact input requirement is formulated. The effect of column weighting in subspace identification algorithms is discussed and the column weighting for SIMPCA is designed which gives consistent estimates of state-space models from both open loop and closedloop data. A simulation example is given to demonstrate the performance of the proposed algorithm.
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