Iterative Identification Algorithms for Continuous-Time Systems with Unknown Time Delay in the Presence of Measurement Noise
スポンサーリンク
概要
- 論文の詳細を見る
This paper considers the identification problem of continuous-time systems with unknown time delay from sampled input-output data. By using a digital pre-filter, an approximated discrete-time estimation model is first derived, in which the system parameters remain in their original form and the time delay need not be an integral multiple of the sampling period. Then an unseparable nonlinear least-squares (UNSEPNLS) method and a separable nonlinear least-squares (SEPNLS) method for identification of transfer function parameters and time delay are derived. Furthermore, an unseparable nonlinear instrumental variable (UNSEPNIV) method and a separable nonlinear instrumental variable (SEPNIV) method are proposed, to eliminate estimate bias due to measurement noise. Simulational results show that the UNSEPNIV and SEPNIV methods yield consistent estimates in the presence of measurement noise.
- 社団法人 電気学会の論文
- 2004-10-01
著者
-
Yang Z‐j
Kyushu Univ.
-
Yang Zi-jiang
Graduate School Of Information Science And Electrical Engineering Kyushu University
-
KANAE Shunshoku
Graduate school of information science and electrical engineering, Kyushu University
-
WADA Kiyoshi
Graduate school of information science and electrical engineering, Kyushu University
-
Yang Z‐j
Graduate School Of Information Science And Electrical Engineering Kyushu University
-
IEMURA Hideto
Graduate School of Information Science and Electrical Engineering, Kyushu University
-
Wada Kiyoshi
Graduate School Of Information Science And Electrical Engineering Kyushu University
-
Kanae Shunshoku
Kyushu Univ.
-
Kanae Shunshoku
Graduate School Of Information Science And Electrical Engineering Kyushu University
-
Iemura Hideto
Graduate School Of Information Science And Electrical Engineering Kyushu University
関連論文
- An efficient recursive identification algorithm for ARMAX model
- Modified bias compensation recursive least-squares method for noisy FIR adaptive filtering
- Identification of Lifted Models for General Dual-Rate Sampled-Data Systems Using N4SID Algorithm
- Subspace predictive control for general dual-rate sampled-data systems
- Identification of lifted state-space models for a class of dual-rate systems from input-output data
- Iterative Identification Algorithms for Continuous-Time Systems with Unknown Time Delay in the Presence of Measurement Noise
- On Parameter Estimation of Autoregressive Process in the Presence of Noise
- Radial Basis Function Network in Reproducing Kernel Hilbert Space
- Kernel Principal Component Regression with Application to Nonlinear Prediction