Frequency domain identification of Hammerstein models

被引：98

作者：

Bai, EW ^{[1
]}

机构：

[1] Univ Iowa, Dept Elect & Comp Engn, Iowa City, IA 52242 USA

来源：

IEEE TRANSACTIONS ON AUTOMATIC CONTROL | 2003年 / 48卷 / 04期

基金：

美国国家科学基金会;

关键词：

Hammerstein systems; nonlinear systems; parameter estimation; system identification;

D O I：

10.1109/TAC.2003.809803

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper discusses Hammerstein model identification in frequency domain using the sampled input-output data. By exploring the fundamental frequency and harmonics generated by the unknown nonlinearity, we propose a frequency domain approach and show its convergence for both the linear and nonlinear subsystems in the presence of noise. No a priori knowledge of the structure of the nonlinearity is required and the linear part can be nonparametric.

引用

页码：530 / 542

页数：13

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