Identification of Unknown Parameters of Partially Observed Discrete-time Stochastic Systems by Using a New Class of Pseudomeasurements-Reference-Cited by-同舟云学术

Identification of Unknown Parameters of Partially Observed Discrete-time Stochastic Systems by Using a New Class of Pseudomeasurements

Published:2015 Issue:0 Volume:2015 Page:201-206
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:

Tanikawa Akio¹

Affiliation:

1. Faculty of Information Science and Technology, Osaka Institute of Technology

Publisher

The Institute of Systems, Control and Information Engineers

Subject

General Medicine

Link

https://www.jstage.jst.go.jp/article/sss/2015/0/2015_201/_pdf

Reference20 articles.

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2. [2] K. Kameyama and A. Ohsumi: Identification of unknown parameters of linear systems from noisy observation data using pseudomeasurement approach, Proc. of the SICE Annual Conference on Control Systems, Kumamoto, CD-ROM 185-2-3, 2010.

3. [3] K. Kameyama and A. Ohsumi: Identification of partially unknown system matrix from noisy observation data via pseudomeasurement approach, Proc. of the 42nd ISCIE Int. Symp. on Stochastic System Theory and Its Applications, Okayama, pp. 27-32, 2010.

4. [4] T. Katayama, Applied Kalman Filters, 2nd Edition, Asakura-Shoten, Tokyo, 2000 (in Japanese).

5. [5] T. Kimura, A. Ohsumi and M. Kono: Identification of unknown exogenous input to stochastic linear systems using pseudomeasurements, Trans. ISCIE, Vol. 21, No. 12, pp. 390-399, 2008 (in Japanese).

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1. A Generalized Class of Pseudomeasurements for Identifying Unknown Parameters of Linear Stochastic Systems;Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications;2016