Can errors-in-variables systems be identified from closed-loop experiments?

Errors-in-variables (EIV) systems are known to be identifiable not generally, but under some specific conditions. These conditions are normally formulated for open-loop systems. This paper examines to what extent an EIV system can be identifiable from closed-loop experiments.

[1]  Umberto Soverini,et al.  The Frisch scheme in algebraic and dynamic identification problems , 2008, Kybernetika.

[2]  Torsten Söderström System identification for the errors-in-variables problem , 2010 .

[3]  Torsten Söderström,et al.  Errors-in-variables methods in system identification , 2018, Autom..

[4]  Torsten Söderström,et al.  Identification of dynamic errors-in-variables systems with periodic data , 2004 .

[5]  Torsten Söderström,et al.  Identification of stochastic linear systems in presence of input noise , 1981, Autom..

[6]  Umberto Soverini,et al.  Identification of dynamic errors-in-variables models , 1996, Autom..

[7]  Tao Zhang,et al.  Worst-Case Identification of Errors-in-Variables Models in Closed Loop , 2011, IEEE Transactions on Automatic Control.

[8]  Giulio Bottegal,et al.  On the identifiability of errors-in-variables models with white measurement errors , 2011, Autom..

[9]  Biao Huang,et al.  FIR modelling for errors‐in‐variables/closed‐loop systems by exploiting cyclo‐stationarity , 2007 .

[10]  Rik Pintelon,et al.  System Identification: A Frequency Domain Approach , 2012 .

[11]  Graham C. Goodwin,et al.  Identifiability of errors in variables dynamic systems , 2008, Autom..

[12]  Rik Pintelon,et al.  Frequency domain maximum likelihood estimation of linear dynamic errors-in-variables models , 2007, Autom..

[13]  Gerd Vandersteen,et al.  Frequency-domain system identification using non-parametric noise models estimated from a small number of data sets , 1997, Autom..