DocumentCode
2741527
Title
On the use of minimal parametrizations in multivariable output-error identification
Author
Guidorzi, Roberto ; Diversi, Roberto
Author_Institution
Dept. of Electron., Comput. Sci. & Syst., Univ. of Bologna, Bologna, Italy
fYear
2011
fDate
20-23 June 2011
Firstpage
1510
Lastpage
1515
Abstract
Multivariable output-error identification does not constitute, in any way, a straightforward extension of the scalar case. The aim of this paper is twofold: 1) Introduction of a new minimal parametrization for multivariable output error models leading to an easily implementable prediction error identification procedure; 2) Comparison of PEM and errors in-variables approaches based on the dynamic Frisch scheme in the identification of MIMO output error processes.
Keywords
MIMO systems; error analysis; parameter estimation; MIMO output error process; dynamic Frisch scheme; errors-in-variables approach; minimal parametrizations; multivariable output error models; multivariable output-error identification; prediction error identification procedure; Adaptation models; Computational modeling; Covariance matrix; MIMO; Noise; Noise measurement; Predictive models;
fLanguage
English
Publisher
ieee
Conference_Titel
Control & Automation (MED), 2011 19th Mediterranean Conference on
Conference_Location
Corfu
Print_ISBN
978-1-4577-0124-5
Type
conf
DOI
10.1109/MED.2011.5983060
Filename
5983060
Link To Document