Security‐based fault detection filtering design for fuzzy singular semi‐Markovian jump systems via improved dynamic event‐triggering and quantization protocols.
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| Title: | Security‐based fault detection filtering design for fuzzy singular semi‐Markovian jump systems via improved dynamic event‐triggering and quantization protocols. |
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| Authors: | Kong, Linghuan1 (AUTHOR), Luo, Mengzhuo1 (AUTHOR) zhuozhuohuahua@163.com, Cheng, Jun2 (AUTHOR), Katib, Iyad3 (AUTHOR), Shi, Kaibo4 (AUTHOR), Zhong, Shouming5 (AUTHOR) |
| Source: | International Journal of Adaptive Control & Signal Processing. Jan2024, Vol. 38 Issue 1, p39-75. 37p. |
| Subjects: | Markovian jump linear systems, Mathematical decoupling, Denial of service attacks, Discrete time filters, Telecommunication systems, Data transmission systems |
| Abstract: | Summary: This article concerns the problem of event‐protocol‐based asynchronous fault detection filtering design for discrete‐time fuzzy singular semi‐Markovian jump systems subjected to system parameters uncertainties, unmatched one‐sided Lipschitz nonlinearities and multi‐cyber‐attacks. First, a well‐designed model structure is proposed to integrate two dynamic quantizers and an improved dynamic event‐triggered protocol into a unified framework to reduce the amount of data in the network transmission and rationalize the use of limited network communication bandwidth resources. Especially, the event‐triggering threshold parameter can be continuously adjusted over the time based on the fluctuation of the network signal. Second, a novel triple‐cyber‐attacks platform is established, of which including random deception attacks, random replay attacks and aperiodic DoS attacks. And with help of the extended decoupling strategy and iterative techniques, the co‐design conditions of the stochastic admissibility with a ℘˘ level of ℋ∞$$ {\mathscr{H}}_{\infty } $$ performance are derived for the fault filtering error systems. Finally, two examples are provided to demonstrate the effectiveness and feasibility of the proposed algorithm. [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.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 174546135 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Security‐based fault detection filtering design for fuzzy singular semi‐Markovian jump systems via improved dynamic event‐triggering and quantization protocols. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Kong%2C+Linghuan%22">Kong, Linghuan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Luo%2C+Mengzhuo%22">Luo, Mengzhuo</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> zhuozhuohuahua@163.com</i><br /><searchLink fieldCode="AR" term="%22Cheng%2C+Jun%22">Cheng, Jun</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Katib%2C+Iyad%22">Katib, Iyad</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Shi%2C+Kaibo%22">Shi, Kaibo</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhong%2C+Shouming%22">Zhong, Shouming</searchLink><relatesTo>5</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Adaptive+Control+%26+Signal+Processing%22">International Journal of Adaptive Control & Signal Processing</searchLink>. Jan2024, Vol. 38 Issue 1, p39-75. 37p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Markovian+jump+linear+systems%22">Markovian jump linear systems</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+decoupling%22">Mathematical decoupling</searchLink><br /><searchLink fieldCode="DE" term="%22Denial+of+service+attacks%22">Denial of service attacks</searchLink><br /><searchLink fieldCode="DE" term="%22Discrete+time+filters%22">Discrete time filters</searchLink><br /><searchLink fieldCode="DE" term="%22Telecommunication+systems%22">Telecommunication systems</searchLink><br /><searchLink fieldCode="DE" term="%22Data+transmission+systems%22">Data transmission systems</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Summary: This article concerns the problem of event‐protocol‐based asynchronous fault detection filtering design for discrete‐time fuzzy singular semi‐Markovian jump systems subjected to system parameters uncertainties, unmatched one‐sided Lipschitz nonlinearities and multi‐cyber‐attacks. First, a well‐designed model structure is proposed to integrate two dynamic quantizers and an improved dynamic event‐triggered protocol into a unified framework to reduce the amount of data in the network transmission and rationalize the use of limited network communication bandwidth resources. Especially, the event‐triggering threshold parameter can be continuously adjusted over the time based on the fluctuation of the network signal. Second, a novel triple‐cyber‐attacks platform is established, of which including random deception attacks, random replay attacks and aperiodic DoS attacks. And with help of the extended decoupling strategy and iterative techniques, the co‐design conditions of the stochastic admissibility with a ℘˘ level of ℋ∞$$ {\mathscr{H}}_{\infty } $$ performance are derived for the fault filtering error systems. Finally, two examples are provided to demonstrate the effectiveness and feasibility of the proposed algorithm. [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: BibEntity: Identifiers: – Type: doi Value: 10.1002/acs.3689 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 37 StartPage: 39 Subjects: – SubjectFull: Markovian jump linear systems Type: general – SubjectFull: Mathematical decoupling Type: general – SubjectFull: Denial of service attacks Type: general – SubjectFull: Discrete time filters Type: general – SubjectFull: Telecommunication systems Type: general – SubjectFull: Data transmission systems Type: general Titles: – TitleFull: Security‐based fault detection filtering design for fuzzy singular semi‐Markovian jump systems via improved dynamic event‐triggering and quantization protocols. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kong, Linghuan – PersonEntity: Name: NameFull: Luo, Mengzhuo – PersonEntity: Name: NameFull: Cheng, Jun – PersonEntity: Name: NameFull: Katib, Iyad – PersonEntity: Name: NameFull: Shi, Kaibo – PersonEntity: Name: NameFull: Zhong, Shouming IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 08906327 Numbering: – Type: volume Value: 38 – Type: issue Value: 1 Titles: – TitleFull: International Journal of Adaptive Control & Signal Processing Type: main |
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