〔閲覧〕【著作】([池田 建司]/[最上 義夫]/[下村 隆夫]/Bias-Compensated State Space Model Identification/Proceedings of 19th International Symposium on Mathematical Theory of Networks and Systems)
(英) Bias-Compensated State Space Model Identification (日)
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(英) A method of bias compensation in subspace identification method is proposed. The noise is assumed to be colored with 0 mean and is assumed to be uncorrelated with the input. The covariance matrix of the noise is estimated directly from the residuals instead of estimating the noise model. The proposing method becomes an iterative algorithm but it converges with order 2. (日)
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○キーワード(推奨):
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(英) State Space Model Identification (日)(読)
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(英) Bias Compensation (日)(読)
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(英) Proceedings of 19th International Symposium on Mathematical Theory of Networks and Systems (日)(読)
Kenji Ikeda, Yoshio MogamiandTakao Shimomura : Bias-Compensated State Space Model Identification, Proceedings of 19th International Symposium on Mathematical Theory of Networks and Systems, 1369-1372, Budapest, July 2010.
欧文冊子 ●
Kenji Ikeda, Yoshio MogamiandTakao Shimomura : Bias-Compensated State Space Model Identification, Proceedings of 19th International Symposium on Mathematical Theory of Networks and Systems, 1369-1372, Budapest, July 2010.
関連情報
Number of session users = 0, LA = 1.29, Max(EID) = 373277, Max(EOID) = 998582.