Continuous-time errors-in-variables system identification through covariance matching without input signal modeling

Authors:
Magnus Mossberg;Torsten Söderström
Affiliations:
Department of Physics and Electrical Engineering, Karlstad University, Sweden;Division of Systems and Control, Department of Information Technology, Uppsala University, Sweden
Venue:
ACC'09 Proceedings of the 2009 conference on American Control Conference
Year:
2009

Citing 1
Cited 2

Survey paper: Errors-in-variables methods in system identification

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Accuracy analysis of a covariance matching approach for identifying errors-in-variables systems

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System identification in a networked environment using second order statistical properties

Automatica (Journal of IFAC)

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Abstract

The continuous-time errors-in-variables system identification problem is studied. The proposed solution is to use a covariance matching approach in which the input signal is not modeled, allowing for general types of input signals. As a consequence, no input signal parameters have to be estimated.