Parameters identification of dual-rate Hammerstein systems based on finite input response models

被引：0
|
作者：
Ke, Qin [1 ]
Jing, Chen [2 ]
机构：
[1] Wuxi Profess Coll Sci & Technol, Wuxi 214028, Peoples R China
[2] Jiangnan Univ, Sch IoT Engn, Key Lab Adv Proc Control Light Ind, Minist Educ, Wuxi 214122, Peoples R China
来源：
PROGRESS IN INDUSTRIAL AND CIVIL ENGINEERING, PTS. 1-5 | 2012年 / 204-208卷
关键词：
Parameter estimation; FIR model; Recursive least squares algorithm; Hammerstein system; MULTIRATE SYSTEMS; ALGORITHM;
D O I：
10.4028/www.scientific.net/AMM.204-208.4742
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
This paper studies the parameter estimation for dual-rate Hammerstein systems. The finite input response model is used to approximate the dual-rate Hammerstein systems, and a recursive least squares algorithm is derived to estimate the parameters of the finite input response model. Based on the estimated parameters, the origin parameters of the dual-rate Hammerstein systems can be obtained. An example is provided to show the effectiveness of the proposed method.
引用
收藏
页码：4742 / +
页数：2
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