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

被引：0
|
作者：
Xiao Wang
Yingjiao Rong
Cheng Wang
Feng Ding
Tasawar Hayat
机构：
[1] Jiangnan University,Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), the School of Internet of Things Engineering
[2] Science and Technology on Near-Surface Detection Laboratory,Department of Mathematics
[3] King Abdulaziz University,undefined
来源：
International Journal of Control, Automation and Systems | 2022年 / 20卷
关键词：
Gradient search; hierarchical identification; nonlinear system; parameter estimation;
D O I：
暂无
中图分类号：
学科分类号：
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.
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页码：73 / 83
页数：10
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