Subspace Identification Using Orthogonal Decomposition: A Numerical Study-Reference-Cited by-同舟云学术

Subspace Identification Using Orthogonal Decomposition: A Numerical Study

Published:2003-05-05 Issue:0 Volume:2003 Page:189-194
ISSN:2188-4730
Container-title:Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications
language:en
Short-container-title:Stochastic Systems Theory and its Applications (SSS)

Author:

ENOMOTO Takeya¹,TANAKA Hideyuki¹,KATAYAMA Tohru¹

Affiliation:

1. Department of Applied Mathematics and Physics, Graduate School of Informatics Kyoto University

Publisher

The Institute of Systems, Control and Information Engineers

Subject

General Medicine

Link

https://www.jstage.jst.go.jp/article/sss/2003/0/2003_189/_pdf

Reference8 articles.

1. [1] A. Chiuso and G. Picci, “Subspace identification by orthogonal decomposition,” Proc. 14th IFAC World Congress, Beijing, 1999, vol. H, pp. 241-246.

2. [2] T. Katayama, “Realization and subspace identification by orthogonal decomposition,” Trans. Inst. Systems, Control and Information Engineers, vol. 46, no.7 , pp. 409-417, 2002 (in Japanese).

3. [3] G. Picci and T. Katayama, “Stochastic realization with exogenous inputs and subspace methods identification,” Signal Processing (Special issue on subspace methods), vol. 52, no. 2, pp. 145-160, 1996.

4. [4] G. Picci and T. Katayama, “A simple subspace identification method with exogenous inputs,” Proc. 13th IFAC World Congress, San Francisco, vol. 1, pp. 175-180, 1996.

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 Symp. Stochastic Systems Theory and Its Applications, Yokohama, Japan, pp. 7-12, 1999.