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
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;
Conference_Titel :
Industrial Mechatronics and Automation (ICIMA), 2010 2nd International Conference on
Conference_Location :
Wuhan, China
Print_ISBN :
978-1-4244-7653-4
DOI :
10.1109/ICINDMA.2010.5538110