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

Xiao Wang; Yingjiao Rong; Cheng Wang; Feng Ding; Tasawar Hayat

doi:10.1007/s12555-020-0872-0

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

Xiao Wang
, Yingjiao Rong
, Cheng Wang
, Feng Ding
, Tasawar Hayat

Jiangnan University
Science and Technology on Near-Surface Detection Laboratory
King Abdulaziz University

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

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.

Original language	English
Pages (from-to)	73-83
Number of pages	11
Journal	International Journal of Control, Automation and Systems
Volume	20
Issue number	1
DOIs	https://doi.org/10.1007/s12555-020-0872-0
State	Published - Jan 2022
Externally published	Yes

Keywords

Gradient search
hierarchical identification
nonlinear system
parameter estimation

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10.1007/s12555-020-0872-0

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abstract = "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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author = "Xiao Wang and Yingjiao Rong and Cheng Wang and Feng Ding and Tasawar Hayat",

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AU - Ding, Feng

AU - Hayat, Tasawar

PY - 2022/1

Y1 - 2022/1

N2 - 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.

AB - 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.

KW - Gradient search

KW - hierarchical identification

KW - nonlinear system

KW - parameter estimation

UR - https://www.scopus.com/pages/publications/85122986495

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ER -

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

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Keywords

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