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Title: Least squares in identification theory (English)
Author: Strejc, Vladimír
Language: English
Journal: Kybernetika
ISSN: 0023-5954
Volume: 13
Issue: 2
Year: 1977
Pages: (83)-105
Category: math
MSC: 93B30
MSC: 93E10
MSC: 93E25
idZBL: Zbl 0354.93061
idMR: MR0504266
Date available: 2009-09-24T16:55:26Z
Last updated: 2012-06-05
Stable URL:
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Reference: [12] R. Hastings-James, M. W. Sage: Recursive Generalized Least Squares Procedure for On-Line Identification of Process Parameters.Proc. of the IEE 116, 12, 1969, 2057-2062.
Reference: [13] K. Smuk, V. Peterka: On-line Estimation of Dynamic Model Parameters from Input-Output Data.4th IFAC Congress, Warsaw, 1969.
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Reference: [15] P. C. Young: An Extension to the Instrumental Variable Method for Identification of a Noisy Dynamic Process.Dep. Eng., Univ. Cambridge, England, Techn. Note CN/70/1, 1970.
Reference: [16] P. C. Young, R. Hastings-James: Identification and Control of Discrete Dynamic Systems Subject to Disturbances with Rational Spectral Density.Proc. 9th IEEE Symp., Adaptive Processes, 1970.
Reference: [17] P. G. Kaminski A. E. Bryson Ir. S. F. Schmidt: Discrete Square Root Filtering. A Survey of Current Techniques.IEEE Trans, on Automatic Control AC-16, 1971, 727-735.
Reference: [18] L. Ljung T. Soderstrom, I. Gustavsson: Counterexamples to General Convergence of a Commonly Used Recursive Identification Method.IEEE Trans. on Automatic Control, AC-20, 1975, 643-652. MR 0401297
Reference: [19] V. Peterka: A Square Root Filter for Real Time Multivariate Regression.Kybernetika 11, 1975, 53-67. Zbl 0314.62028, MR 0403769


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