Recursive Identification for MIMO Hammerstein Systems

被引：0

作者：

Chen Xing-Min ^{[1
]}

Chen Han-Fu ^{[1
]}

机构：

[1] Chinese Acad Sci, AMSS, Key Lab Syst & Control, Inst Syst Sci, Beijing 100190, Peoples R China

来源：

PROCEEDINGS OF THE 29TH CHINESE CONTROL CONFERENCE | 2010年

关键词：

MIMO Hammerstein Systems; Recursive Identification; Stochastic Approximation; Kernel Estimation; ALGORITHMS;

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 paper considers the recursive identification for the multi-input and multi-output (MIMO) Hammerstein system with internal noise and observation noise and with linear part being an ARX system. With the help of the generalized Yule-Walker equation and the correlations of system signals, the recursive algorithms are proposed for estimating unknown coefficients of the linear subsystem, while the system nonlinearity is recursively estimated by using the multi-variable kernel functions. Strong consistency of the estimates is proved under reasonable conditions, and a simulation example is provided.

引用

页码：6215 / 6220

页数：6

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