Design of attack resistant robust fuzzy control of chaotic semi-Markov jump stochastic systems with multiple cyber attacks.

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Title: Design of attack resistant robust fuzzy control of chaotic semi-Markov jump stochastic systems with multiple cyber attacks.
Authors: Abinandhitha, R.1 (AUTHOR), Satheesh, T.2,3 (AUTHOR), Sakthivel, R.1 (AUTHOR) krsakthivel@buc.edu.in, Ren, Y.4 (AUTHOR) brightry@hotmail.com
Source: International Journal of General Systems. Jul2026, Vol. 55 Issue 5, p587-612. 26p.
Subjects: Robust control, Stochastic systems, Lyapunov stability, Fuzzy control systems, Chaos theory, Cyberterrorism
Abstract: This paper investigates the input-output finite-time stabilization issue for uncertain chaotic stochastic systems characterized by Takagi-Sugeno fuzzy models and semi-Markovian jumps. Moreover, the parameter uncertainties and multiple cyber attacks have been accounted in the system model and control input, respectively. In particular, the multiple attacks encompass both denial-of-service and deception attacks, which are supposed to satisfy certain Bernoulli distributed white noise sequences. Primarily, the aim of this article lies in designing an attack resistant robust control for guaranteeing the input-output finite-time stochastic stability of the considered system. Furthermore, with the aid of Lyapunov stability theory, sufficient criteria are established in the framework of linear matrix inequalities to guarantee that assayed systems are input-output finite-time stochastically stable. Additionally, the desired framework of an attack resistant robust controller can be formulated. Ultimately, the put forward theoretical insights are placed on Chua's circuit systems to showcase their prominence. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of General Systems is the property of Taylor & Francis Ltd 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: Design of attack resistant robust fuzzy control of chaotic semi-Markov jump stochastic systems with multiple cyber attacks.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+General+Systems%22">International Journal of General Systems</searchLink>. Jul2026, Vol. 55 Issue 5, p587-612. 26p.
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  Data: <searchLink fieldCode="DE" term="%22Robust+control%22">Robust control</searchLink><br /><searchLink fieldCode="DE" term="%22Stochastic+systems%22">Stochastic systems</searchLink><br /><searchLink fieldCode="DE" term="%22Lyapunov+stability%22">Lyapunov stability</searchLink><br /><searchLink fieldCode="DE" term="%22Fuzzy+control+systems%22">Fuzzy control systems</searchLink><br /><searchLink fieldCode="DE" term="%22Chaos+theory%22">Chaos theory</searchLink><br /><searchLink fieldCode="DE" term="%22Cyberterrorism%22">Cyberterrorism</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This paper investigates the input-output finite-time stabilization issue for uncertain chaotic stochastic systems characterized by Takagi-Sugeno fuzzy models and semi-Markovian jumps. Moreover, the parameter uncertainties and multiple cyber attacks have been accounted in the system model and control input, respectively. In particular, the multiple attacks encompass both denial-of-service and deception attacks, which are supposed to satisfy certain Bernoulli distributed white noise sequences. Primarily, the aim of this article lies in designing an attack resistant robust control for guaranteeing the input-output finite-time stochastic stability of the considered system. Furthermore, with the aid of Lyapunov stability theory, sufficient criteria are established in the framework of linear matrix inequalities to guarantee that assayed systems are input-output finite-time stochastically stable. Additionally, the desired framework of an attack resistant robust controller can be formulated. Ultimately, the put forward theoretical insights are placed on Chua's circuit systems to showcase their prominence. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of General Systems is the property of Taylor & Francis Ltd 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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    Identifiers:
      – Type: doi
        Value: 10.1080/03081079.2025.2490949
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 26
        StartPage: 587
    Subjects:
      – SubjectFull: Robust control
        Type: general
      – SubjectFull: Stochastic systems
        Type: general
      – SubjectFull: Lyapunov stability
        Type: general
      – SubjectFull: Fuzzy control systems
        Type: general
      – SubjectFull: Chaos theory
        Type: general
      – SubjectFull: Cyberterrorism
        Type: general
    Titles:
      – TitleFull: Design of attack resistant robust fuzzy control of chaotic semi-Markov jump stochastic systems with multiple cyber attacks.
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            NameFull: Abinandhitha, R.
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            NameFull: Satheesh, T.
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            NameFull: Sakthivel, R.
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            NameFull: Ren, Y.
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            – D: 01
              M: 07
              Text: Jul2026
              Type: published
              Y: 2026
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