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
收藏
页码：530 / 542
页数：13
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