Identification of Unknown Parameters of Partially Observed Discrete-time Stochastic Systems by Using Pseudomeasurements
Author:
Affiliation:
1. Faculty of Information Science and Technology, Osaka Institute of Technology
2. Department of Mechanical and System Engineering, Kyoto Institute of Technology
Publisher
The Institute of Systems, Control and Information Engineers
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, 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, pp. 27-32 (2010)
4. [4] T. Katayama: Applied Kalman Filters, 2nd Edition, Asakura-Shoten (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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