Identification of Hammerstein model based on wavelet transform

Author

Li Zhen-Qiang ; Luo Wen-Guang ; Pan Sheng-Hui ; Lin Chuan

Author_Institution

Dept. of Electron. Inf. & Control Eng., Guangxi Univ. of Technol., Liuzhou, China

fYear

2011

fDate

22-24 July 2011

Firstpage

1519

Lastpage

1524

Abstract

In this paper, we propose the method for identification of Hammerstein model using wavelet transform from the noise corrupted data. The nonlinear static memoryless part of Hammerstein model can be represented as a linear combination of the finite function, the following linear part is an ARMAX model. We can estimate the model by means of the wavelet transform and the numerical algorithm for subspace state space system identification method (N4SID). A simulation example illustrates this approach is effective.

Keywords

autoregressive moving average processes; memoryless systems; nonlinear systems; state-space methods; wavelet transforms; ARMAX model; Hammerstein model; N4SID; finite function; noise corrupted data; nonlinear static memoryless part; numerical algorithm; subspace state space system identification method; wavelet transform; Data models; Discrete wavelet transforms; Electronic mail; Kalman filters; Numerical models; ARMAX Model; Hammerstein Model; Nonlinear System Identification;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (CCC), 2011 30th Chinese

Conference_Location

Yantai

ISSN

1934-1768

Print_ISBN

978-1-4577-0677-6

Electronic_ISBN

1934-1768

Type

conf

Filename

6000860