DocumentCode
581831
Title
Identification of errors-in-variables systems with nonlinear output measurements
Author
Song, Qijiang
Author_Institution
Dept. of Math., Renmin Univ. of China, Beijing, China
fYear
2012
fDate
25-27 July 2012
Firstpage
1820
Lastpage
1825
Abstract
This paper concerns the identification problem of the errors-in-variables (EIV) systems with nonlinear output measurements using iid inputs. Under reasonable conditions, recursive estimates are given for the parameters of the EIV systems. The strong consistency of the recursive algorithms is proved. Two simulation examples are provided, which justify the theoretical results.
Keywords
recursive estimation; errors-in-variables system identification; nonlinear output measurement; recursive estimation; Abstracts; Approximation algorithms; Approximation methods; Educational institutions; Electronic mail; Measurement uncertainty; ARMA; Errors-in-variables (EIV); Nonlinear Measurement; Recursive Estimate; Stochastic Approximation (SA); Strong consistency; System Identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2012 31st Chinese
Conference_Location
Hefei
ISSN
1934-1768
Print_ISBN
978-1-4673-2581-3
Type
conf
Filename
6390220
Link To Document