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Stochastic intermittent fault-tolerant control for T-S fuzzy systems with aperiodic sampling information.

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Title: Stochastic intermittent fault-tolerant control for T-S fuzzy systems with aperiodic sampling information.
Authors: Kuppusamy, Subramanian1 (AUTHOR), Jeong, JaeHoon1,2 (AUTHOR) jh7129@kunsan.ac.kr
Source: Mathematics & Computers in Simulation. Aug2026, Vol. 246, p633-644. 12p.
Subjects: Fault-tolerant control systems, Irregular sampling (Signal processing), Fuzzy control systems, Stochastic control theory, Linear matrix inequalities, Lyapunov functions
Abstract: This article proposes a stochastic intermittent fault-tolerant control scheme for Takagi–Sugeno (T-S) fuzzy system with aperiodic sampled-data information through a refined fractional-delayed state approach. The aperiodic sampling intervals are time-varying with an upper bound, providing greater flexibility and practical relevance than classical periodic sampling. To fully exploit the fractional-delayed state information across the entire sampling interval, a modified looped functional-based Lyapunov-Krasovskii functional (LKF) with two adjustable parameters is developed. Additionally, the structure incorporates the characteristics of membership functions and sampling patterns via a fuzzy-dependent switching scheme, enhancing design flexibility. Based on this LKF, the stabilization criteria for the T-S fuzzy systems are derived and formulated as linear matrix inequalities (LMIs) under the designed control scheme. The control gains are subsequently obtained by solving these LMIs. Finally, numerical examples are presented to demonstrate the effectiveness and advantages of the proposed method. [ABSTRACT FROM AUTHOR]
Copyright of Mathematics & Computers in Simulation is the property of Elsevier B.V. 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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DbLabel: Engineering Source
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  Data: Stochastic intermittent fault-tolerant control for T-S fuzzy systems with aperiodic sampling information.
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  Data: <searchLink fieldCode="AR" term="%22Kuppusamy%2C+Subramanian%22">Kuppusamy, Subramanian</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jeong%2C+JaeHoon%22">Jeong, JaeHoon</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> jh7129@kunsan.ac.kr</i>
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  Data: <searchLink fieldCode="DE" term="%22Fault-tolerant+control+systems%22">Fault-tolerant control systems</searchLink><br /><searchLink fieldCode="DE" term="%22Irregular+sampling+%28Signal+processing%29%22">Irregular sampling (Signal processing)</searchLink><br /><searchLink fieldCode="DE" term="%22Fuzzy+control+systems%22">Fuzzy control systems</searchLink><br /><searchLink fieldCode="DE" term="%22Stochastic+control+theory%22">Stochastic control theory</searchLink><br /><searchLink fieldCode="DE" term="%22Linear+matrix+inequalities%22">Linear matrix inequalities</searchLink><br /><searchLink fieldCode="DE" term="%22Lyapunov+functions%22">Lyapunov functions</searchLink>
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  Data: This article proposes a stochastic intermittent fault-tolerant control scheme for Takagi–Sugeno (T-S) fuzzy system with aperiodic sampled-data information through a refined fractional-delayed state approach. The aperiodic sampling intervals are time-varying with an upper bound, providing greater flexibility and practical relevance than classical periodic sampling. To fully exploit the fractional-delayed state information across the entire sampling interval, a modified looped functional-based Lyapunov-Krasovskii functional (LKF) with two adjustable parameters is developed. Additionally, the structure incorporates the characteristics of membership functions and sampling patterns via a fuzzy-dependent switching scheme, enhancing design flexibility. Based on this LKF, the stabilization criteria for the T-S fuzzy systems are derived and formulated as linear matrix inequalities (LMIs) under the designed control scheme. The control gains are subsequently obtained by solving these LMIs. Finally, numerical examples are presented to demonstrate the effectiveness and advantages of the proposed method. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Mathematics & Computers in Simulation is the property of Elsevier B.V. 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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      – Type: doi
        Value: 10.1016/j.matcom.2026.02.032
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 12
        StartPage: 633
    Subjects:
      – SubjectFull: Fault-tolerant control systems
        Type: general
      – SubjectFull: Irregular sampling (Signal processing)
        Type: general
      – SubjectFull: Fuzzy control systems
        Type: general
      – SubjectFull: Stochastic control theory
        Type: general
      – SubjectFull: Linear matrix inequalities
        Type: general
      – SubjectFull: Lyapunov functions
        Type: general
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      – TitleFull: Stochastic intermittent fault-tolerant control for T-S fuzzy systems with aperiodic sampling information.
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            NameFull: Jeong, JaeHoon
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              M: 08
              Text: Aug2026
              Type: published
              Y: 2026
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              Value: 246
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