The data filtering based multiple‐stage Levenberg–Marquardt algorithm for Hammerstein nonlinear systems

This article considers the parameter identification problem of multiple‐input single‐output Hammerstein nonlinear systems. Applying the data filtering technique, the input–output data are filtered. The filtered system is decomposed into multiple subsystems with fewer variables by using the hierarchi...

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Published inInternational journal of robust and nonlinear control Vol. 31; no. 15; pp. 7007 - 7025
Main Authors Ji, Yan, Kang, Zhen, Liu, Ximei
Format Journal Article
LanguageEnglish
Published Bognor Regis Wiley Subscription Services, Inc 01.10.2021
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Abstract This article considers the parameter identification problem of multiple‐input single‐output Hammerstein nonlinear systems. Applying the data filtering technique, the input–output data are filtered. The filtered system is decomposed into multiple subsystems with fewer variables by using the hierarchical identification principle. The data filtering based multiple‐stage Levenberg–Marquardt algorithm is proposed for interactively identifying each subsystem. Finally, a numerical simulation example is given to demonstrate the effectiveness of the proposed algorithms.
AbstractList This article considers the parameter identification problem of multiple‐input single‐output Hammerstein nonlinear systems. Applying the data filtering technique, the input–output data are filtered. The filtered system is decomposed into multiple subsystems with fewer variables by using the hierarchical identification principle. The data filtering based multiple‐stage Levenberg–Marquardt algorithm is proposed for interactively identifying each subsystem. Finally, a numerical simulation example is given to demonstrate the effectiveness of the proposed algorithms.
Author Kang, Zhen
Ji, Yan
Liu, Ximei
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  surname: Kang
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  orcidid: 0000-0002-3170-3118
  surname: Liu
  fullname: Liu, Ximei
  email: liuximei@qust.edu.cn
  organization: Qingdao University of Science and Technology
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Snippet This article considers the parameter identification problem of multiple‐input single‐output Hammerstein nonlinear systems. Applying the data filtering...
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SubjectTerms Algorithms
filtering technique
Filtration
hierarchical identification
Levenberg–Marquardt algorithm
nonlinear system
Nonlinear systems
parameter estimation
Parameter identification
Subsystems
Title The data filtering based multiple‐stage Levenberg–Marquardt algorithm for Hammerstein nonlinear systems
URI https://onlinelibrary.wiley.com/doi/abs/10.1002%2Frnc.5675
https://www.proquest.com/docview/2568176393
Volume 31
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