On Generalized Eigenvector Method for Errors-In-Variables Models Identification
Author:
Affiliation:
1. Dept. of Creative Engineering, National Institute of Technology, Ariake College
2. Professor Emeritus of Kyushu University
Publisher
The Institute of Systems, Control and Information Engineers
Subject
General Medicine
Link
https://www.jstage.jst.go.jp/article/sss/2017/0/2017_34/_pdf
Reference6 articles.
1. [3] M. J. Levin: Estimation of a system pulse transfer function in the presence of noise, IEEE Trans. Autmat. Contr., Vol.9, No.3, pp.229-235, 1967.
2. [4] K. V. Fernando and H. Nicholson: Identification of linear systems with input and output noise: the Koopmans-Levin method, IEE Proc. Control Theory and Appl., Vol.132, pp.30-36, 1985.
3. [5] T. Söderström and K. Mahata: On instrumental variable and total least squares approachs for identification of noisy systems, Int. J. Control, Vol.75, No.6, pp.381-389, 2002.
4. [6] S. Thil, M. Gilson and H. Garnier: On instrumental variable-based methods for errors-in-variables model identification, Prep. of the 17th IFAC World Congress, Seoul, Korea, pp.426-431, 2008.
5. [7] S. Thil and M. Gilson: Survey of analytical IV estimates for errors-in-variables model identification, Prep. of the 18th IFAC World Congress, Milan,Italy, 2011.
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