Title of article
Comparing some classes of bias-compensating least squares methods
Author/Authors
Sِderstrِm، نويسنده , , Torsten، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2013
Pages
6
From page
840
To page
845
Abstract
Three different classes of bias-compensating least squares identification methods are compared, and shown to be identical. It is also discussed how the user parameters in the classes can be chosen to achieve optimal accuracy of the parameter estimates.
Keywords
Linear systems , System identification , Bias compensation , Errors-in-variables models
Journal title
Automatica
Serial Year
2013
Journal title
Automatica
Record number
1449062
Link To Document