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
收藏
页码：241 / 245
页数：5
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