(英)(日) Asymptotic Properties of Bias Compensated State Space Model Identification Method in Closed Loop Environment
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(英) Bias compensated state space model identification method in close loop environment (CL-BCSS) is introduced. The noise is assumed to be a 0 mean colored noise. It is also assumed that the reference input is a white Gaussian process uncorrelated to the noise. Signal and noise components of a certain matrix in the proposed method and CL-MOESP method are anlyzed and compared. It is shown that CL-BCSS method corresponds to CL-MOESP method with infinite past horizon. (日)
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○キーワード(推奨):
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(英) closed-loop identification (日)(読)
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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) variance analysis (日)(読)
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(英) SICE 12th Annual Conference on Control Systems (日) 第12回計測自動制御学会制御部門大会 (読) だいじゅうにかいけいそくじどうせいぎょがっかいせいぎょぶもんたいかい
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(英) Nara (日) 奈良 (読) なら
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西暦 2012年 3月 15日 (平成 24年 3月 15日)
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和文冊子 ●
池田 建司, 奥 宏史 : Asymptotic Properties of Bias Compensated State Space Model Identification Method in Closed Loop Environment, 第12回計測自動制御学会制御部門大会, (巻), (号), 2012年3月.
欧文冊子 ●
Kenji IkedaandHiroshi Oku : Asymptotic Properties of Bias Compensated State Space Model Identification Method in Closed Loop Environment, SICE 12th Annual Conference on Control Systems, (巻), (号), March 2012.
関連情報
Number of session users = 0, LA = 0.88, Max(EID) = 373277, Max(EOID) = 998582.