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Circuits, Systems, and Signal Processing

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

  • 09-02-2026
Authors
Shengtong Zhao
Zhenbin Du
Haokun Chi
Shugang Liu
Zhaojing Wu
Published in
Circuits, Systems, and Signal Processing

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Abstract

This article delves into the challenges and solutions for controlling networked systems under false data injection (FDI) attacks. It introduces a dynamic event-triggered mechanism (DETM) combined with interval type-2 (IT2) fuzzy models to handle nonlinear systems with uncertain parameters. The research focuses on enhancing system stability and reliability through output feedback and advanced control strategies. The article presents a looped Lyapunov-Krasovskii functional (LKF) to fully utilize sampling information, achieving less conservative results. Simulation examples, including a mass-spring-damper system, validate the effectiveness of the proposed control scheme. The findings highlight the advantages of the DETM in conserving network resources and improving system performance under cyber-attacks.
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Title
New Results of Dynamic Event-Triggered Fuzzy Control for Networked Systems with False Data Injection Attacks via Output Feedback
Authors
Shengtong Zhao
Zhenbin Du
Haokun Chi
Shugang Liu
Zhaojing Wu
Publication date
09-02-2026
Publisher
Springer US
Published in
Circuits, Systems, and Signal Processing
Print ISSN: 0278-081X
Electronic ISSN: 1531-5878
DOI
https://doi.org/10.1007/s00034-025-03466-2
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