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Design of Dynamic Event‐Triggered Interval Observer for Uncertain Continuous‐Time Cyber‐Physical Systems.

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Title: Design of Dynamic Event‐Triggered Interval Observer for Uncertain Continuous‐Time Cyber‐Physical Systems.
Authors: Wu, Hongrun1 (AUTHOR), Huang, Jun1 (AUTHOR) cauchyhot@163.com, Zhang, Junchao1 (AUTHOR), Zhao, Xudong2 (AUTHOR)
Source: International Journal of Robust & Nonlinear Control. Dec2025, Vol. 35 Issue 18, p7807-7816. 10p.
Subjects: Cyber physical systems, Continuous time systems, Simulation methods & models, Linear matrix inequalities, Observability (Control theory), Estimation theory
Abstract: This paper introduces a novel two‐step method for designing a dynamic event‐triggered interval observer for continuous‐time cyber‐physical systems under disturbances. In the first step, a dynamic event‐triggered approach is employed for observer design, and sufficient conditions are given by a linear matrix inequality. The dynamic event‐triggered mechanism reduces the utilization of computational and communication resources in the cyber‐physical systems. In the second step, a type of symmetric set‐integration approach is applied to the design of the interval observer. The proposed approach not only reduces the conservatism of the observer design but also improves the estimation accuracy. Meanwhile, Zeno behavior is avoided. Finally, both the efficiency and applicability of the interval observer are validated through a circuit simulation experiment. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Robust & Nonlinear Control 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.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 189393518
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PubTypeId: academicJournal
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  Label: Title
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  Data: Design of Dynamic Event‐Triggered Interval Observer for Uncertain Continuous‐Time Cyber‐Physical Systems.
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  Data: <searchLink fieldCode="AR" term="%22Wu%2C+Hongrun%22">Wu, Hongrun</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Huang%2C+Jun%22">Huang, Jun</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> cauchyhot@163.com</i><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Junchao%22">Zhang, Junchao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhao%2C+Xudong%22">Zhao, Xudong</searchLink><relatesTo>2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Robust+%26+Nonlinear+Control%22">International Journal of Robust & Nonlinear Control</searchLink>. Dec2025, Vol. 35 Issue 18, p7807-7816. 10p.
– Name: Subject
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  Data: <searchLink fieldCode="DE" term="%22Cyber+physical+systems%22">Cyber physical systems</searchLink><br /><searchLink fieldCode="DE" term="%22Continuous+time+systems%22">Continuous time systems</searchLink><br /><searchLink fieldCode="DE" term="%22Simulation+methods+%26+models%22">Simulation methods & models</searchLink><br /><searchLink fieldCode="DE" term="%22Linear+matrix+inequalities%22">Linear matrix inequalities</searchLink><br /><searchLink fieldCode="DE" term="%22Observability+%28Control+theory%29%22">Observability (Control theory)</searchLink><br /><searchLink fieldCode="DE" term="%22Estimation+theory%22">Estimation theory</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This paper introduces a novel two‐step method for designing a dynamic event‐triggered interval observer for continuous‐time cyber‐physical systems under disturbances. In the first step, a dynamic event‐triggered approach is employed for observer design, and sufficient conditions are given by a linear matrix inequality. The dynamic event‐triggered mechanism reduces the utilization of computational and communication resources in the cyber‐physical systems. In the second step, a type of symmetric set‐integration approach is applied to the design of the interval observer. The proposed approach not only reduces the conservatism of the observer design but also improves the estimation accuracy. Meanwhile, Zeno behavior is avoided. Finally, both the efficiency and applicability of the interval observer are validated through a circuit simulation experiment. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Robust & Nonlinear Control 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:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1002/rnc.70064
    Languages:
      – Code: eng
        Text: English
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        PageCount: 10
        StartPage: 7807
    Subjects:
      – SubjectFull: Cyber physical systems
        Type: general
      – SubjectFull: Continuous time systems
        Type: general
      – SubjectFull: Simulation methods & models
        Type: general
      – SubjectFull: Linear matrix inequalities
        Type: general
      – SubjectFull: Observability (Control theory)
        Type: general
      – SubjectFull: Estimation theory
        Type: general
    Titles:
      – TitleFull: Design of Dynamic Event‐Triggered Interval Observer for Uncertain Continuous‐Time Cyber‐Physical Systems.
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            NameFull: Wu, Hongrun
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            NameFull: Huang, Jun
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            NameFull: Zhang, Junchao
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            NameFull: Zhao, Xudong
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          Dates:
            – D: 01
              M: 12
              Text: Dec2025
              Type: published
              Y: 2025
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              Value: 35
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              Value: 18
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            – TitleFull: International Journal of Robust & Nonlinear Control
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