〔閲覧〕【著作】([池田 建司]/[最上 義夫]/[下村 隆夫]/Discrete-time state variable filters for the estimation of a continuous-time model/Proceedings of the 14th IFAC Symposium on System Identification)
(英) Discrete-time state variable filters for the estimation of a continuous-time model (日)
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(英) This paper proposes a continuous-time model estimation method from sampled I/O data with the ZOH input assumption. State variable filters are modified in order to estimate the intersample signals by using a previously obtained parameter estimate. A sufficient condition for the parameter convergence and the bias of the estimated parameters are analyzed. (日)
(英) Proceedings of the 14th IFAC Symposium on System Identification (日)(読)
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861 866
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(英) Newcastle, Australia (日) ニューキャッスル(オーストラリア) (読) にゅーきゃっする おーすとらりあ
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西暦 2006年 3月 30日 (平成 18年 3月 30日)
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Kenji Ikeda, Yoshio MogamiandTakao Shimomura : Discrete-time state variable filters for the estimation of a continuous-time model, Proceedings of the 14th IFAC Symposium on System Identification, (巻), (号), 861-866, Newcastle, Australia, March 2006.
欧文冊子 ●
Kenji Ikeda, Yoshio MogamiandTakao Shimomura : Discrete-time state variable filters for the estimation of a continuous-time model, Proceedings of the 14th IFAC Symposium on System Identification, (巻), (号), 861-866, Newcastle, Australia, March 2006.
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Number of session users = 1, LA = 0.65, Max(EID) = 373285, Max(EOID) = 998647.