Convergence of an Estimation Method of Kalman Gain by using Cholesky Factor
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- Ikeda Kenji
- Tokushima Univ.
Bibliographic Information
- Other Title
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- Cholesky Factorを用いたKalmanゲインの推定手法の収束性について
Description
<p>Consistent estimates of Kalman gain and the covariance matrix of the innovations process are important for the evaluation of the variance of the estimates in subspace identification methods. The author proposed an estimation method by using Cholesky factor of a positive definite matrix composed of the I/O data. In this paper, some properties of the estimates of the propose method are analyzed.</p>
Journal
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- Proceedings of the Japan Joint Automatic Control Conference
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Proceedings of the Japan Joint Automatic Control Conference 59 (0), 455-458, 2016
The Japan Joint Automatic Control Conference
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Details 詳細情報について
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- CRID
- 1390282680625524096
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- NII Article ID
- 130005312505
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- Text Lang
- ja
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- Data Source
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- JaLC
- CiNii Articles
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- Abstract License Flag
- Disallowed