Identification for disturbed MIMO Wiener systems

被引：19
|
作者：
Fan, Dan [1 ]
Lo, Kueiming [1 ,2 ]
机构：
[1] Tsinghua Univ, Sch Software, Key Lab ISS MOE, Beijing 100084, Peoples R China
[2] Kyoto Univ, Grad Sch Informat, Kyoto 6068501, Japan
来源：
NONLINEAR DYNAMICS | 2009年 / 55卷 / 1-2期
关键词：
Convergence rate; Interference noise; MIMO Wiener systems; Parameter identification; Recursive estimation; NONLINEAR-SYSTEMS; PARAMETER-IDENTIFICATION; MODEL IDENTIFICATION; SERIES;
D O I：
10.1007/s11071-008-9342-6
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
The identification of Multi-input Multi-output (MIMO) Wiener systems is concerned in this paper. The system presented is comprised of a multidimensional linear subsystem and a memory-less nonlinear block which is made of discontinuous asymmetric piece-wise linear functions. A recursive algorithm is proposed to estimate all the unknown parameters of the system with interference noises. It is shown that the recursive algorithm for the disturbed MIMO Wiener system is convergent. Finally, some simulation results illustrate the identification accuracy and the convergence rate.
引用
收藏
页码：31 / 42
页数：12
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