Subspace Identification for Errors-in-Variables Models using Schur Complement Approach
Published in Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications • May 5, 2003
NobleIDNI8P76W32R24S73
Authors:,,
Yoshinori Takei
Hidehito Nanto
Shunshoku Kanae
Abstract
In this paper, an interpretation of subspace-based identification methods with Schur complement approach is proposed. MOESP (MIMO output error state space model identification) algorithms are well known as an elementary subspace method. The extensions of the MOESP with instrumental variables (IV) ha...
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