Distributed Filtering for State‐Saturated Systems With Switching Nonlinearities via Rayleigh Fading Channels: An Adaptive Event‐Triggered Case.

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Title: Distributed Filtering for State‐Saturated Systems With Switching Nonlinearities via Rayleigh Fading Channels: An Adaptive Event‐Triggered Case.
Authors: Zhang, Qingbo1 (AUTHOR), Hu, Jun1,2,3 (AUTHOR) jhu@hrbust.edu.cn, Liu, Desheng4 (AUTHOR) dengsheng.liu@jmsu.edu.cn, Zhu, Mingqing5 (AUTHOR), Yu, Hui1,3 (AUTHOR)
Source: International Journal of Adaptive Control & Signal Processing. Apr2025, Vol. 39 Issue 4, p785-802. 18p.
Subjects: Mathematical induction, Mathematical analysis, Data transmission systems, Information design, Computer simulation, Rayleigh fading channels, Sensor networks
Abstract: The distributed filtering (DF) problem is investigated for state‐saturated systems (SSSs) with switching nonlinearities under the adaptive event‐triggered mechanism (AETM) and Rayleigh fading channels over sensor networks, where the data is transmitted between nodes through the Rayleigh fading channel. In addition, the AETM is introduced to save communication resources and improve data transmission efficiency. First, a distributed filter is designed incorporating the information of state saturation, switching nonlinearity, Rayleigh fading channel and AETM. Second, the upper bound (UB) on the filtering error covariance (FEC) is derived by the mathematical induction method, and the filter gain is obtained by minimizing the trace of the UB. Subsequently, the boundedness of UB on the FEC is shown through mathematical analysis. Finally, the effectiveness of the filtering scheme designed in this article is demonstrated through a numerical simulation example and a practical example, in which the influence of different Rayleigh parameters to the filtering performance and the superiority of using the AETM are discussed. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Adaptive Control & Signal Processing is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Distributed Filtering for State‐Saturated Systems With Switching Nonlinearities via Rayleigh Fading Channels: An Adaptive Event‐Triggered Case.
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  Data: <searchLink fieldCode="AR" term="%22Zhang%2C+Qingbo%22">Zhang, Qingbo</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hu%2C+Jun%22">Hu, Jun</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<i> jhu@hrbust.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Liu%2C+Desheng%22">Liu, Desheng</searchLink><relatesTo>4</relatesTo> (AUTHOR)<i> dengsheng.liu@jmsu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Zhu%2C+Mingqing%22">Zhu, Mingqing</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yu%2C+Hui%22">Yu, Hui</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Adaptive+Control+%26+Signal+Processing%22">International Journal of Adaptive Control & Signal Processing</searchLink>. Apr2025, Vol. 39 Issue 4, p785-802. 18p.
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  Data: <searchLink fieldCode="DE" term="%22Mathematical+induction%22">Mathematical induction</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+analysis%22">Mathematical analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Data+transmission+systems%22">Data transmission systems</searchLink><br /><searchLink fieldCode="DE" term="%22Information+design%22">Information design</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Rayleigh+fading+channels%22">Rayleigh fading channels</searchLink><br /><searchLink fieldCode="DE" term="%22Sensor+networks%22">Sensor networks</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The distributed filtering (DF) problem is investigated for state‐saturated systems (SSSs) with switching nonlinearities under the adaptive event‐triggered mechanism (AETM) and Rayleigh fading channels over sensor networks, where the data is transmitted between nodes through the Rayleigh fading channel. In addition, the AETM is introduced to save communication resources and improve data transmission efficiency. First, a distributed filter is designed incorporating the information of state saturation, switching nonlinearity, Rayleigh fading channel and AETM. Second, the upper bound (UB) on the filtering error covariance (FEC) is derived by the mathematical induction method, and the filter gain is obtained by minimizing the trace of the UB. Subsequently, the boundedness of UB on the FEC is shown through mathematical analysis. Finally, the effectiveness of the filtering scheme designed in this article is demonstrated through a numerical simulation example and a practical example, in which the influence of different Rayleigh parameters to the filtering performance and the superiority of using the AETM are discussed. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Adaptive Control & Signal Processing is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1002/acs.3978
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 18
        StartPage: 785
    Subjects:
      – SubjectFull: Mathematical induction
        Type: general
      – SubjectFull: Mathematical analysis
        Type: general
      – SubjectFull: Data transmission systems
        Type: general
      – SubjectFull: Information design
        Type: general
      – SubjectFull: Computer simulation
        Type: general
      – SubjectFull: Rayleigh fading channels
        Type: general
      – SubjectFull: Sensor networks
        Type: general
    Titles:
      – TitleFull: Distributed Filtering for State‐Saturated Systems With Switching Nonlinearities via Rayleigh Fading Channels: An Adaptive Event‐Triggered Case.
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Zhang, Qingbo
      – PersonEntity:
          Name:
            NameFull: Hu, Jun
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            NameFull: Liu, Desheng
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          Name:
            NameFull: Zhu, Mingqing
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            NameFull: Yu, Hui
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          Dates:
            – D: 01
              M: 04
              Text: Apr2025
              Type: published
              Y: 2025
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              Value: 39
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            – TitleFull: International Journal of Adaptive Control & Signal Processing
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