DocumentCode
524922
Title
Numerical approach to parameter identifiability of mechanical system nonlinear parametric models
Author
Jiafan, Zhang ; Yonglin, Zhang ; Qinghua, Yan
Author_Institution
Dept. of Mech. Eng., Wuhan Polytech. Univ., Wuhan, China
Volume
1
fYear
2010
fDate
30-31 May 2010
Firstpage
16
Lastpage
19
Abstract
Model parameters are identifiable if there exists a unique relationship between its input-output behaviour and the parameter values. Identifiability of parameters is one of the most important steps in parameter identification of mechanical system nonlinear dynamic models. The concept and a numerical approach of analyzing the identifiability of model parameters are presented in this paper. It is proposed via case study that one had better check the local identifiability of the model at the identified parameter point using the numerical approach, when the parameter identification procedure has been finished.
Keywords
Biochemical analysis; Industrial relations; Mathematical model; Mechanical systems; Mechatronics; Nonlinear dynamical systems; Nonlinear systems; Parameter estimation; Parametric statistics; System testing; nonlinear mechanical system; numerical approach; parameter identifiability; parameter identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Mechatronics and Automation (ICIMA), 2010 2nd International Conference on
Conference_Location
Wuhan, China
Print_ISBN
978-1-4244-7653-4
Type
conf
DOI
10.1109/ICINDMA.2010.5538110
Filename
5538110
Link To Document