Frisch scheme based identification of dynamic errors-in-variables bilinear systems

2009 ◽  
Vol 42 (10) ◽  
pp. 1557-1562
Author(s):  
T. Larkowski ◽  
J.G. Linden ◽  
K.J. Burnham
Keyword(s):  
Bilinear Systems ◽  
Errors In Variables ◽  
Dynamic Errors

On robust constrained Kalman filter for dynamic errors-in-variables model

Survey Review ◽  
2018 ◽  
Vol 52 (372) ◽  
pp. 253-260 ◽  
Author(s):  
Vahid Mahboub ◽  
Somayeh Ebrahimzadeh ◽  
Mohammad Saadatseresht ◽  
Mehran Faramarzi
Keyword(s):  
Kalman Filter ◽  
Errors In Variables ◽  
Dynamic Errors

Linear dynamic errors-in-variables models

1986 ◽  
Vol 23 (A) ◽  
pp. 23-39 ◽  
Author(s):  
M. Deistler
Keyword(s):  
Dynamical Systems ◽  
Transfer Functions ◽  
Errors In Variables ◽  
Linear Dynamical Systems ◽  
Linear Dynamic ◽  
Dynamic Errors ◽  
Non Gaussian ◽  
Inputs And Outputs

Linear dynamical systems where both inputs and outputs are contaminated by errors are considered. A characterization of the sets of all observationally equivalent transfer functions is given, the role of the causality assumption is investigated and conditions for identifiability in the case of Gaussian as well as non-Gaussian observations are derived.

IDENTIFICATION OF DYNAMIC ERRORS-IN-VARIABLES MODEL USING A FREQUENCY DOMAIN FRISCH SCHEME

2002 ◽  
Vol 35 (1) ◽  
pp. 361-366 ◽  
Author(s):  
Torsten Söderström ◽  
Kaushik Mahata ◽  
Umberto Soverini
Keyword(s):  
Frequency Domain ◽  
Errors In Variables ◽  
Dynamic Errors
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