Efficiency Analysis of the Simplified Refined Instrumental Variable Method for Continuous-time Systems
暂无分享,去创建一个
James S. Welsh | Cristian R. Rojas | Siqi Pan | Rodrigo A. Gonz'alez | Rodrigo A. Gonz'alez | C. Rojas | J. Welsh | Siqi Pan | Rodrigo A. González
[1] Peter Young,et al. Parameter estimation for continuous-time models - A survey , 1979, Autom..
[2] R. Pintelon,et al. On the equivalence of z-domain and s-domain models in system identification , 1996, Quality Measurement: The Indispensable Bridge between Theory and Reality (No Measurements? No Science! Joint Conference - 1996: IEEE Instrumentation and Measurement Technology Conference and IMEKO Tec.
[3] S. Monaco,et al. Zero dynamics of sampled nonlinear systems , 1988 .
[4] Torsten Söderström. Sampling approximations for continuous-time identification , 2009 .
[5] D.G. Dudley,et al. Dynamic system identification experiment design and data analysis , 1979, Proceedings of the IEEE.
[6] Hugues Garnier,et al. Direct continuous-time approaches to system identification. Overview and benefits for practical applications , 2015, Eur. J. Control.
[7] Minyue Fu,et al. A Continuous-Time Linear System Identification Method for Slowly Sampled Data , 2010, IEEE Transactions on Signal Processing.
[8] Hugues Garnier,et al. Robust time-domain output error method for identifying continuous-time systems with time delay , 2017, Syst. Control. Lett..
[9] Petre Stoica,et al. Comparison of some instrumental variable methods - Consistency and accuracy aspects , 1981, Autom..
[10] Rodrigo A. González,et al. An asymptotically optimal indirect approach to continuous-time system identification , 2018, 2018 IEEE Conference on Decision and Control (CDC).
[11] Bernard P. Brooks,et al. The coefficients of the characteristic polynomial in terms of the eigenvalues and the elements of an n×n matrix , 2006, Appl. Math. Lett..
[12] Wei Xing Zheng,et al. Convergence analysis of refined instrumental variable method for continuous-time system identification , 2011 .
[13] Peter C. Young,et al. An optimal instrumental variable approach for identifying hybrid continuous-time Box-Jenkins models , 2006 .
[14] Hugo Van hamme,et al. Identification of linear dynamic systems using piecewise constant excitations: Use, misuse and alternatives , 1994, Autom..
[15] Hugues Garnier,et al. Refined Instrumental Variable Identification of Continuous-Time OE and BJ Models from Irregularly Sampled Data , 2013, ALCOSP.
[16] Peter C. Young,et al. Identification and estimation of continuous-time, data-based mechanistic (DBM) models for environmental systems , 2006, Environ. Model. Softw..
[17] P. Young. Optimal IV identification and estimation of continuous-time TF models , 2002 .
[18] J. Stewart. Calculus: Early Transcendentals , 1988 .
[19] I. Rowe,et al. Strongly consistent parameter estimation by the introduction of strong instrumental variables , 1974 .
[20] P. Young,et al. Refined instrumental variable methods of recursive time-series analysis Part III. Extensions , 1980 .
[21] Biao Huang,et al. System Identification , 2000, Control Theory for Physicists.
[22] Liuping Wang,et al. Identification of Continuous-time Models from Sampled Data , 2008 .
[23] Lennart Ljung,et al. System Identification: Theory for the User , 1987 .
[24] Peter C. Young,et al. Refined instrumental variable estimation: Maximum likelihood optimization of a unified Box-Jenkins model , 2015, Autom..
[25] E. L. Lehmann,et al. Theory of point estimation , 1950 .
[26] Peter C. Young,et al. The advantages of directly identifying continuous-time transfer function models in practical applications , 2014, Int. J. Control.
[27] T. Söderström,et al. Instrumental variable methods for system identification , 1983 .
[28] T. Söderström,et al. Optimal instrumental variable estimation and approximate implementations , 1983 .
[29] Cristian R. Rojas,et al. Consistency Analysis of the Simplified Refined Instrumental Variable Method for Continuous-time Systems , 2019, Autom..
[30] Lennart Ljung,et al. Characterization of the Concept of 'Persistently Exciting' in the Frequency Domain , 1971 .
[31] P. Young,et al. An optimal IV technique for identifying continuous-time transfer function model of multiple input systems , 2007 .
[32] S. Bochner,et al. Several complex variables , 1949 .
[33] P. Young. Unified estimation of discrete and continuous-time transfer function models , 2008 .
[34] J. R. Trapero,et al. Recursive Estimation and Time-Series Analysis. An Introduction for the Student and Practitioner, Second edition, Peter C. Young. Springer (2011), 504 pp., Hardcover, $119.00, ISBN: 978-3-642-21980-1 , 2015 .
[35] T. Söderström,et al. The Steiglitz-McBride identification algorithm revisited--Convergence analysis and accuracy aspects , 1981 .