A blind approach to the Hammerstein-Wiener model identification

被引：232

作者：

Bai, EW ^{[1
]}

机构：

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

来源：

AUTOMATICA | 2002年 / 38卷 / 06期

基金：

美国国家科学基金会;

关键词：

system identification; parameter estimation; nonlinear systems; Hammerstem systems; Wiener systems; Hammerstein-Wiener systems;

D O I：

10.1016/S0005-1098(01)00292-8

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we propose a blind approach to the sampled Hammerstein-Wiener model identification. By using the blind approach, it is shown that all internal variables can be recovered solely based on the output measurements. Then, identification of linear and nonlinear parts can be carried out. No a priori structural knowledge about the input nonlinearity is assumed and no white noise assumption is imposed on the input. (C) 2002 Elsevier Science Ltd. All rights reserved.

引用

页码：967 / 979

页数：13

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