Event-Triggered Security Control for Networked Control Systems under FDI Attacks

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Event-Triggered Security Control for Networked Control Systems under FDI Attacks

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[1]LIU Shanzhong,JIANG Zhenhua,ZHANG Yaping.Event-Triggered Security Control for Networked Control Systems under FDI Attacks[J].Journal of Zhengzhou University (Engineering Science),2027,48(XX):1-9.[doi:10.13705/j.issn.1671-6833.2026.02.018]

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Journal of Zhengzhou University (Engineering Science)[ISSN 1671-6833/CN 41-1339/T] Volume: 48 Number of periods: 2027 XX Page number: 1-9 Column: Public date: 2027-12-10

Title:: Event-Triggered Security Control for Networked Control Systems under FDI Attacks

Author(s):: LIU Shanzhong, JIANG Zhenhua, ZHANG Yaping; School of Information Engineering, Henan University of Science & Technology, Luoyang 4 71023, China

Keywords:: networked control systems; false data injection; mean filtering; event-triggered; uncertainty; nonlinearity

CLC:: T P273TP393.08

DOI:: 10.13705/j.issn.1671-6833.2026.02.018

Abstract:: This paper addresses the security control problem of a class of networked control systems subject to network-induced delays, uncertainties, external disturbances, and nonlinearities under false data injection (FDI) attacks. Firstly, to tackle the issue of network resource wastage caused by burst data in existing triggering mechanisms, a dynamic adaptive event-triggering mechanism based on mean filtering (MF-DAETM) is proposed. By incorporating the mean filtering concept, this mechanism effectively reduces accidental triggers induced by burst data, thereby conserving network resources. Secondly, the false data injection attacks are modeled using Bernoulli variables, and a unified closed-loop time-delay system model is constructed by comprehensively considering network-induced delays, uncertainties, external disturbances, and nonlinearities. Based on this model, sufficient conditions for ensuring the H∞ asymptotic stability of the closed-loop system are derived using the Lyapunov-Krasovskii functional method and linear matrix inequality techniques. Furthermore, a co-design method for MF-DAETM and a robust controller is proposed. Finally, the effectiveness of the proposed approach is validated through numerical simulations and a practical case study. The results demonstrate that the system can still achieve stability even when 21.2% and 26.7% of the control data are compromised, exhibiting strong robustness. In the case study, compared to the pre-improved triggering mechanism, MF-DAETM improves resource utilization by 23.4%.

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Last Update: 2026-06-29