Comparison of Two Subspace Identification Methods for Combined Deterministic-Stochastic System: Part 2
Author:
Affiliation:
1. Department of Applied Mathematics and Physics, Graduate School of Informatics Kyoto University
2. Dipartimento di Elettronica e Informatica, University of Padova
Publisher
The Institute of Systems, Control and Information Engineers
Subject
General Medicine
Link
https://www.jstage.jst.go.jp/article/sss/2001/0/2001_15/_pdf
Reference11 articles.
1. [1] A. Chiuso, A Matlab Toolbox for Subspace System Identification, Technical Report, University of Padova, 2000.
2. [2] A. Chiuso and G.Picci, Subspace Identification by Orthogonal Decomposition, Proc. 14th IFAC World Congress, Vol. H, pp. 241-246, 1999.
3. [3] U. Forssell and L. Ljung, Closed-loop identification revisited. Automatica, vol. 35, no. 7, pp. 1215-1241, 1999.
4. [4] T. Katayama and G. Picci, Realization of Stochastic Systems with Exogenous Inputs and Subspace Identification Methods, Automatica, vol. 35, no. 10, pp. 1635-1652, 1999.
5. [5] H. Kawauchi, A. Chiuso, T. Katayama and G. Picci, Comparison of Two Subspace Identification Methods for Combined Deterministic-Stochastic Systems, Proc. 31st ISCIE International Symposium on Stochastic Systems Theory and its Applications, Yokohama, Japan, pp. 7-12, 1999.
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1. Subspace Identification Using Orthogonal Decomposition: A Numerical Study;Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications;2003-05-05
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