Identification of Hammerstein-Wiener model with least squares support vector machine

被引：0

作者：

Song Haiying ^{[1
]}

Gui Weihua ^{[1
]}

Yang Chunhua ^{[1
]}

机构：

[1] Cent South Univ, Sch Informat Sci & Engn, Changsha 410083, Hunan, Peoples R China

来源：

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

关键词：

Hammerstein-Wiener model least squares vector machine identification; Intelligent modeling;

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：

A identification method for Hammerstein-Wiener model using least squares support vector machine is proposed. With the solving idea of least squares support vector machine, the identification problem of Hammerstein -Wiener model is converted to the constrained optimization problem by adding constraint so that the parameters of Hammerstein-Wiener model are identified and the computing efficiency of Hammerstein-Wiener is improved.

引用

页码：260 / +

页数：3

共 13 条

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