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Intelligent event‐triggered filtering for interval type‐2 fuzzy singular systems.

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Title: Intelligent event‐triggered filtering for interval type‐2 fuzzy singular systems.
Authors: Zhao, Xuan1 (AUTHOR), Zhou, Shaosheng1 (AUTHOR) sszhou65@163.com
Source: Asian Journal of Control. May2026, Vol. 28 Issue 3, p1258-1274. 17p.
Subjects: Markovian jump linear systems, Fuzzy systems, Signal processing, Control theory (Engineering), Passivity (Engineering), Discrete-time systems
Abstract: This paper investigates the problem of mixed passivity and H∞$$ {H}_{\infty } $$ filtering for interval type‐2 (IT2) discrete‐time singular Markovian systems. To conserve limited network resources, a novel intelligent event‐triggered mechanism is proposed. Based on the proposed intelligent event‐triggered mechanism, the IT2 singular Markovian switching system is established. By employing the delay partitioning technology, a new criterion is derived which guarantees the filtering error system to be regular, causal, and stochastically admissible with a certain mixed passive and H∞$$ {H}_{\infty } $$ performance index. We propose a collaborative approach that integrates mode‐dependent or mode‐independent filter design with the parameters of an intelligent event‐triggered mechanism. Facilitated by the method, the intelligent event‐triggered filter can be developed in light of the obtained analysis result. The effectiveness of our method is demonstrated through two numerical examples. [ABSTRACT FROM AUTHOR]
Copyright of Asian Journal of 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.)
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  Data: Intelligent event‐triggered filtering for interval type‐2 fuzzy singular systems.
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  Data: <searchLink fieldCode="AR" term="%22Zhao%2C+Xuan%22">Zhao, Xuan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhou%2C+Shaosheng%22">Zhou, Shaosheng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> sszhou65@163.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Asian+Journal+of+Control%22">Asian Journal of Control</searchLink>. May2026, Vol. 28 Issue 3, p1258-1274. 17p.
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  Data: <searchLink fieldCode="DE" term="%22Markovian+jump+linear+systems%22">Markovian jump linear systems</searchLink><br /><searchLink fieldCode="DE" term="%22Fuzzy+systems%22">Fuzzy systems</searchLink><br /><searchLink fieldCode="DE" term="%22Signal+processing%22">Signal processing</searchLink><br /><searchLink fieldCode="DE" term="%22Control+theory+%28Engineering%29%22">Control theory (Engineering)</searchLink><br /><searchLink fieldCode="DE" term="%22Passivity+%28Engineering%29%22">Passivity (Engineering)</searchLink><br /><searchLink fieldCode="DE" term="%22Discrete-time+systems%22">Discrete-time systems</searchLink>
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  Label: Abstract
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  Data: This paper investigates the problem of mixed passivity and H∞$$ {H}_{\infty } $$ filtering for interval type‐2 (IT2) discrete‐time singular Markovian systems. To conserve limited network resources, a novel intelligent event‐triggered mechanism is proposed. Based on the proposed intelligent event‐triggered mechanism, the IT2 singular Markovian switching system is established. By employing the delay partitioning technology, a new criterion is derived which guarantees the filtering error system to be regular, causal, and stochastically admissible with a certain mixed passive and H∞$$ {H}_{\infty } $$ performance index. We propose a collaborative approach that integrates mode‐dependent or mode‐independent filter design with the parameters of an intelligent event‐triggered mechanism. Facilitated by the method, the intelligent event‐triggered filter can be developed in light of the obtained analysis result. The effectiveness of our method is demonstrated through two numerical examples. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Asian Journal of 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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        Value: 10.1002/asjc.3730
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      – Code: eng
        Text: English
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        PageCount: 17
        StartPage: 1258
    Subjects:
      – SubjectFull: Markovian jump linear systems
        Type: general
      – SubjectFull: Fuzzy systems
        Type: general
      – SubjectFull: Signal processing
        Type: general
      – SubjectFull: Control theory (Engineering)
        Type: general
      – SubjectFull: Passivity (Engineering)
        Type: general
      – SubjectFull: Discrete-time systems
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      – TitleFull: Intelligent event‐triggered filtering for interval type‐2 fuzzy singular systems.
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            NameFull: Zhao, Xuan
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              M: 05
              Text: May2026
              Type: published
              Y: 2026
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              Value: 28
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