Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications
Online ISSN : 2188-4749
Print ISSN : 2188-4730
第32回ISCIE「確率システム理論と応用」国際シンポジウム(2000年11月, 鳥取)
Recursive Subspace Identification Based on Subspace Extraction via Schur Complement
Yoshinori TAKEIJun IMAIKiyoshi WADA
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ジャーナル フリー

2001 年 2001 巻 p. 27-32

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抄録
In this paper, we present the recursive subspace identification based on the subspace extraction via Schur complement. The subspace extraction via Schur complement is the alternative derivation of the estimate of the extended observability matrix in MIMO Output-Error State space model identification (MOESP) algorithm. A relationship between the least squares residual and the Schur complement matrix obtained from input-output data is shown, and the recursive implementation for the subspace-based state-space model identification (4SID) methods are presented. The proposed algorithm also apply to an instrumental variable (IV) based 4SID method.
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© 2001 ISCIE Symposium on Stochastic Systems Theory and Its Applications
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