Hierarchical Gradient-Based Iterative Parameter Estimation Algorithms for a Nonlinear Feedback System Based on the Hierarchical Identification Principle

This paper focuses on iterative parameter estimation methods for a nonlinear closed-loop system (i.e., a nonlinear feedback system) with an equation-error model for the open-loop part. By applying negative gradient search, a gradient-based iterative algorithm is constructed. To reduce the computatio...

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Vydané v:Circuits, systems, and signal processing Ročník 43; číslo 1; s. 124 - 151
Hlavní autori: Yang, Dan, Liu, Yanjun, Ding, Feng, Yang, Erfu
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York Springer US 01.01.2024
Springer Nature B.V
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ISSN:0278-081X, 1531-5878
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Abstract This paper focuses on iterative parameter estimation methods for a nonlinear closed-loop system (i.e., a nonlinear feedback system) with an equation-error model for the open-loop part. By applying negative gradient search, a gradient-based iterative algorithm is constructed. To reduce the computational costs and improve the parameter estimation accuracy, the hierarchical identification principle is employed to derive a hierarchical gradient-based iterative algorithm. A simulation example is provided to test the effectiveness of the proposed algorithms.
AbstractList This paper focuses on iterative parameter estimation methods for a nonlinear closed-loop system (i.e., a nonlinear feedback system) with an equation-error model for the open-loop part. By applying negative gradient search, a gradient-based iterative algorithm is constructed. To reduce the computational costs and improve the parameter estimation accuracy, the hierarchical identification principle is employed to derive a hierarchical gradient-based iterative algorithm. A simulation example is provided to test the effectiveness of the proposed algorithms.
Author Liu, Yanjun
Ding, Feng
Yang, Erfu
Yang, Dan
Author_xml – sequence: 1
  givenname: Dan
  surname: Yang
  fullname: Yang, Dan
  organization: Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), School of Internet of Things Engineering, Jiangnan University, Department of Electromechanical Engineering, Changzhou Vocational Institute of Textile and Garment
– sequence: 2
  givenname: Yanjun
  surname: Liu
  fullname: Liu, Yanjun
  organization: Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), School of Internet of Things Engineering, Jiangnan University
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  givenname: Feng
  orcidid: 0000-0002-2721-2025
  surname: Ding
  fullname: Ding, Feng
  email: fding@jiangnan.edu.cn
  organization: Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), School of Internet of Things Engineering, Jiangnan University
– sequence: 4
  givenname: Erfu
  surname: Yang
  fullname: Yang, Erfu
  organization: Department of Design, Manufacturing and Engineering Management, University of Strathclyde
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Nonlinear feedback system
Hierarchical identification
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SubjectTerms Accuracy
Algorithms
Circuits and Systems
Closed loops
Decomposition
Electrical Engineering
Electronics and Microelectronics
Engineering
Feedback control
Identification
Instrumentation
Iterative algorithms
Iterative methods
Nonlinear feedback
Parameter estimation
Parameter identification
Principles
Process controls
Signal processing
Signal,Image and Speech Processing
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Title Hierarchical Gradient-Based Iterative Parameter Estimation Algorithms for a Nonlinear Feedback System Based on the Hierarchical Identification Principle
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