Title :
An identification algorithm for Hammerstein-Wiener system with dead zone input nonlinearity using gradient method
Author :
HyokChan Hong ; Zhizhong Mao
Author_Institution :
Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
fDate :
May 31 2014-June 2 2014
Abstract :
This paper proposes a new algorithm for the identification of Hammerstein-Wiener system with dead zone input nonlinearity. This method is a combination of least square method and gradient method. The algorithm is simple and will give a precise identification result.
Keywords :
gradient methods; identification; least squares approximations; nonlinear systems; Hammerstein-Wiener system; dead zone input nonlinearity; gradient method; identification algorithm; least square method; nonlinear system identification; Computational modeling; Gradient methods; Least squares approximations; Niobium; Nonlinear systems; Vectors; Hammerstein-Wiener system; dead zone nonlinearity; gradient method; least square method; nonlinear system identification;
Conference_Titel :
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-3707-3
DOI :
10.1109/CCDC.2014.6852596
