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

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2 Author(s)
Mossberg, M. ; Dept. of Phys. & Electr. Eng., Karlstad Univ., Karlstad, Sweden ; Soderstrom, T.

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.

Published in:

American Control Conference, 2009. ACC '09.

Date of Conference:

10-12 June 2009