Self-Triggered Impulsive Control for Disturbed T-S Fuzzy Delay Systems

In this article, we devote to investigate the self-triggered impulsive control (STIC) approaches for input-to-state stability (ISS) of nonlinear T-S fuzzy delay systems. With the help of the Lyapunov–Razumikhin technique, an ISS-type comparison principle is proposed. The designed self-triggering mechanism (STM) can predict the next impulse instant only using the current state information, different from the existing event-triggered results that need a continuous state monitor. Based on such an STM, some impulsive controller design schemes for ISS of T-S fuzzy delay systems are provided. In addition, non-Zeno behavior can be guaranteed automatically without extra limitations. Finally, two simulations are provided to verify the effectiveness of the proposed theoretical results.

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Publication Details

Journal
IEEE Transactions on Systems Man and Cybernetics Systems
Published
2025-10-03
DOI
https://doi.org/10.1109/tsmc.2025.3613835
Citations
1
Primary Topic
Wireless Communication Networks Research
Type
article
Field-Weighted Citation Impact
1.49
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article

Self-Triggered Impulsive Control for Disturbed T-S Fuzzy Delay Systems

Mingzhu Wang, Xiaodi Li
1 citations
IEEE Transactions on Systems Man and Cybernetics Systems
Wireless Communication Networks Research
1.49
article

Self-Triggered Impulsive Control for Disturbed T-S Fuzzy Delay Systems

Mingzhu Wang, Xiaodi Li
article en
1 citations

Abstract

In this article, we devote to investigate the self-triggered impulsive control (STIC) approaches for input-to-state stability (ISS) of nonlinear T-S fuzzy delay systems. With the help of the Lyapunov–Razumikhin technique, an ISS-type comparison principle is proposed. The designed self-triggering mechanism (STM) can predict the next impulse instant only using the current state information, different from the existing event-triggered results that need a continuous state monitor. Based on such an STM, some impulsive controller design schemes for ISS of T-S fuzzy delay systems are provided. In addition, non-Zeno behavior can be guaranteed automatically without extra limitations. Finally, two simulations are provided to verify the effectiveness of the proposed theoretical results.

IEEE Transactions on Systems Man and Cybernetics SystemsVol. 55(12)
Shandong Normal University (CN)
Openalex Percentile: Top 13%
Wireless Communication Networks Research
1.49
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