Recursive Identification of MIMO Wiener Systems with General Inputs

被引：0

作者：

Jiang, Yue-Ping ^{[1
]}

Fang, Hai-Tao ^{[2
]}

机构：

[1] Nanjing Univ Posts & Telecommun, Sch Nat Sci, Nanjing 210046, Jiangsu, Peoples R China

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

来源：

PROCEEDINGS OF THE 48TH IEEE CONFERENCE ON DECISION AND CONTROL, 2009 HELD JOINTLY WITH THE 2009 28TH CHINESE CONTROL CONFERENCE (CDC/CCC 2009) | 2009年

基金：

中国国家自然科学基金;

关键词：

PARAMETER-IDENTIFICATION; SUBSPACE; MODEL;

D O I：

10.1109/CDC.2009.5400837

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 concerns the identification of the multiple-input multiple-output (MIMO) Wiener system consisting of a linear subsystem followed by a static nonlinearity. Based on Fourier transform, the coefficient matrices of the linear subsystem is recursively estimated by stochastic approximation based principal component analysis (SABPCA) method with random inputs with possibly non-Gaussian distribution. The main contribution of the paper also consists in establishing convergence with probability one of the proposed algorithm to the true values. A numerical example is given to justify the theoretical analysis.

引用

页码：3626 / 3631

页数：6

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