Subspace State-Space System Identification Using Uncorrelation
نویسندگان
چکیده
منابع مشابه
Subspace system identification
We give a general overview of the state-of-the-art in subspace system identification methods. We have restricted ourselves to the most important ideas and developments since the methods appeared in the late eighties. First, the basis of linear subspace identification are summarized. Different algorithms one finds in literature (Such as N4SID, MOESP, CVA) are discussed and put into a unifyin...
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The aim of this contribution is to analyze a class of state-space subspace system identiication (4SID) methods. In particular, the eeect of diierent weighting matrices is studied. By a linear regression formulation, diierent cost-functions, which are rather implicit in the ordinary framework of 4SID, are compared. Expressions for asymptotic variances of pole estimation error are analyzed and fr...
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We give a general overview of the state-of-the-art in subspace system identiication methods. We have restricted ourselves to the most important ideas and developments since the methods appeared in the late eighties. First, the basics of linear subspace identiication are summarized. Diierent algorithms one nds in literature (such as N4SID, IV-4SID, MOESP, CVA) are discussed and put into a unifyi...
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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 consi...
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ژورنال
عنوان ژورنال: Transactions of the Institute of Systems, Control and Information Engineers
سال: 1996
ISSN: 1342-5668,2185-811X
DOI: 10.5687/iscie.9.476