Convergence of the iterative algorithm for a general Hammerstein system identification

被引：80

作者：

Bai, Er-Wei ^{[1
]}

Li, Kang ^{[2
]}

机构：

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

[2] Queens Univ, Sch Elect Elect Engn & Comp Sci, Belfast BT9 5AH, Antrim, North Ireland

来源：

AUTOMATICA | 2010年 / 46卷 / 11期

关键词：

System identification; Hammerstein systems; Recursive algorithm; MODEL IDENTIFICATION; NONLINEAR-SYSTEMS; LINEAR-SYSTEMS;

D O I：

10.1016/j.automatica.2010.07.007

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 convergence of the iterative identification algorithm for a general Hammerstein system has been an open problem for a long time. In this paper, it is shown that the convergence can be achieved by incorporating a regularization procedure on the nonlinearity in addition to a normalization step on the parameters. (C) 2010 Elsevier Ltd. All rights reserved.

引用

页码：1891 / 1896

页数：6

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