Subspace identification of Hammerstein systems with frequency domain data

Author

Li, Zhenqiang ; Wada, Kiyoshi ; Kanae, Shunshoku

Author_Institution

Dept. of Electr. & Electron. Syst. Eng., Kyushu Univ., Fukuoka, Japan

fYear

2009

fDate

9-12 Aug. 2009

Firstpage

329

Lastpage

334

Abstract

This paper addresses identification of Hammerstein systems using the sampled input-output data in frequency domain. When the static memoryless nonlinear part of Hammerstein model can be considered as a polynomial with a known order, the following linear part can be estimated as a multi-input single-output (MISO) systems with the numerical algorithm for subspace state space system identification method. Simulation results illustrate this approach is effective.

Keywords

identification; memoryless systems; polynomials; state-space methods; Hammerstein system; frequency domain data; multiinput single output system; polynomial; static memoryless nonlinear part; subspace state space system identification method; Convergence; Data engineering; Frequency domain analysis; Linear systems; Nonlinear dynamical systems; Polynomials; Singular value decomposition; State estimation; State-space methods; System identification; ARX model; Hammerstein model; Singular value decomposition; Subspace identification method;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechatronics and Automation, 2009. ICMA 2009. International Conference on

Conference_Location

Changchun

Print_ISBN

978-1-4244-2692-8

Electronic_ISBN

978-1-4244-2693-5

Type

conf

DOI

10.1109/ICMA.2009.5246477

Filename

5246477