Gradient-based Iterative Parameter Estimation for a Finite Impulse Response System with Saturation Nonlinearity

被引：4

作者：

Wang, Xiao ^{[1
]}

Rong, Yingjiao ^{[2
]}

Wang, Cheng ^{[1
,2
]}

Ding, Feng ^{[1
]}

Hayat, Tasawar ^{[3
]}

机构：

[1] Jiangnan Univ, Sch Internet Things Engn, Key Lab Adv Proc Control Light Ind, Minist Educ, Wuxi 214122, Jiangsu, Peoples R China

[2] Sci & Technol Near Surface Detect Lab, Wuxi 214028, Jiangsu, Peoples R China

[3] King Abdulaziz Univ, Dept Math, Jeddah 21589, Saudi Arabia

来源：

INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS | 2022年 / 20卷 / 01期

基金：

中国国家自然科学基金;

关键词：

Gradient search; hierarchical identification; nonlinear system; parameter estimation; INN MONOLAYER; RISK MODEL; ESTIMATION ALGORITHM; COLLISION-AVOIDANCE; PROMISING CANDIDATE; TRACKING CONTROL; IDENTIFICATION; DIVIDEND; INPUT; GASES;

D O I：

10.1007/s12555-020-0872-0

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper studies the identification problems of a nonlinear finite impulse response system with saturation nonlinearity. Introducing a symbolic function, an over-parameterization gradient-based iterative algorithm is presented for estimating the parameters of the nonlinear system with saturation nonlinearity. In order to enhance the computational efficiency, a gradient-based iterative algorithm and a hierarchical gradient-based iterative algorithm are presented for the nonlinear systems. The computational loads of these algorithms are analyzed and compared.

引用

页码：73 / 83

页数：11

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