Decomposition Based Newton Iterative Identification Method for a Hammerstein Nonlinear FIR System with ARMA Noise

被引：54

作者：

Ding, Feng ^{[1
]}

Deng, Kepo ^{[2
]}

Liu, Ximei ^{[1
]}

机构：

[1] Qingdao Univ Sci & Technol, Coll Automat & Elect Engn, Qingdao 266061, Peoples R China

[2] Jiangnan Univ, Sch Internet Things Engn, Wuxi 214122, Peoples R China

来源：

CIRCUITS SYSTEMS AND SIGNAL PROCESSING | 2014年 / 33卷 / 09期

基金：

中国国家自然科学基金;

关键词：

Iterative identification; Newton method; Parameter estimation; Hammerstein nonlinear models; LEAST-SQUARES ESTIMATION; ADAPTIVE ROBUST-CONTROL; PARAMETER-ESTIMATION; ESTIMATION ALGORITHMS; STATE;

D O I：

10.1007/s00034-014-9772-y

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper derives a Newton iterative algorithm for identifying a Hammerstein nonlinear FIR system with ARMA noise (i.e., Hammerstein nonlinear controlled autoregressive moving average system). This method decomposes a Hammerstein nonlinear system into two subsystems using the hierarchical identification principle, estimating the parameters of the system directly without using the over-parameterization method. The simulation results show that the proposed algorithm is effective.

引用

页码：2881 / 2893

页数：13

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