Recursive Identification for Semiparametric Multi-channel Wiener Systems

被引：0

作者：

Chen, Xing-Min ^{[1
]}

机构：

[1] Dalian Univ Technol, Sch Math Sci, Dalian 116024, Peoples R China

来源：

2014 33RD CHINESE CONTROL CONFERENCE (CCC) | 2014年

关键词：

Multi-Channel Wiener System; Semiparametric Estimation; Recursive Identification; Stochastic Approximation; Kernel Estimation; HAMMERSTEIN;

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：

Recursive identification for semiparametric multi-channel Wiener systems is considered in the paper. Based on stochastic approximation, the recursive estimates are given for coefficients of each linear subsystem and the weighed coefficient with the help of the average derivative approach, then recursive nonparametric estimate is derived for the system nonlinearity by using kernel method. All estimates are recursive and are proved to be strongly consistent under reasonable conditions.

引用

页码：6786 / 6791

页数：6

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