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<p>This study examines the implementation of fuzzy control for networked systems under false data injection (FDI) attacks via output feedback. The systems are modeled as interval type-2 (IT2) fuzzy systems, and system states are estimated by the observer. The fuzzy control scheme incorporates a dynamic event-triggered mechanism (DETM) to conserve network resources, and a controller is designed to mitigate the impact posed by FDI attacks. The system stability under FDI attacks is analyzed by using a looped Lyapunov–Krasovskii functional (LKF), in which looped LKF makes full use of sampling information to obtain more relaxed results. Finally, two examples are provided to validate the effectiveness of the proposed control scheme.</p>

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New Results of Dynamic Event-Triggered Fuzzy Control for Networked Systems with False Data Injection Attacks via Output Feedback

  • 期刊论文

  • 发表日期：

    2026年2月9日

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  • Shengtong Zhao,
  • Zhenbin Du,
  • Haokun Chi,
  • Shugang Liu,
  • Zhaojing Wu

摘要

This study examines the implementation of fuzzy control for networked systems under false data injection (FDI) attacks via output feedback. The systems are modeled as interval type-2 (IT2) fuzzy systems, and system states are estimated by the observer. The fuzzy control scheme incorporates a dynamic event-triggered mechanism (DETM) to conserve network resources, and a controller is designed to mitigate the impact posed by FDI attacks. The system stability under FDI attacks is analyzed by using a looped Lyapunov–Krasovskii functional (LKF), in which looped LKF makes full use of sampling information to obtain more relaxed results. Finally, two examples are provided to validate the effectiveness of the proposed control scheme.