Decoupling the linear and nonlinear parts in Hammerstein model identification

被引：86

作者：

Bai, EW ^{[1
]}

机构：

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

来源：

AUTOMATICA | 2004年 / 40卷 / 04期

基金：

美国国家科学基金会;

关键词：

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

D O I：

10.1016/j.automatica.2003.11.007

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The main result of this paper is to show that the linear part can be made decoupled from the nonlinear part in Hammerstein model identification. Therefore, identification of the linear part for a Hammerstein model becomes a linear problem and accordingly enjoys the same convergence and consistency results as if the unknown nonlinearity is absent. (C) 2003 Elsevier Ltd. All rights reserved.

引用

页码：671 / 676

页数：6

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