Identification for hammerstein systems using extended least squares algorithm

被引：0

作者：

Zhao Wenxiao ^{[1
]}

机构：

[1] Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100080, Peoples R China

来源：

PROCEEDINGS OF THE 26TH CHINESE CONTROL CONFERENCE, VOL 3 | 2007年

关键词：

hammerstein system; ARMAX; extended least squares; strong consistency;

D O I：

暂无

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 extended least squares (ELS) algorithm is applied to identifying the Hammerstein system, where the nonlinear static function f(.) is expressed as a linear combination of basic functions with unknown coefficients. Strong consistency of the estimates is established and their convergent rates are obtained as well.

引用

页码：241 / 245

页数：5

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