[1]刘珊中,蒋振华,张亚平.FDI攻击下网络化控制系统的事件触发安全控制[J].郑州大学学报(工学版),2027,48(XX):1-9.[doi:10.13705/j.issn.1671-6833.2026.02.018]
　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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FDI攻击下网络化控制系统的事件触发安全控制()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
48
期数:
2027年XX
页码:
1-9
栏目:
出版日期:
2027-12-10

文章信息/Info

Title:
Event-Triggered Security Control for Networked Control Systems under FDI Attacks
作者:
刘珊中，蒋振华，张亚平
河南科技大学 信息工程学院,河南 洛阳 471023
Author(s):
LIU Shanzhong, JIANG Zhenhua, ZHANG Yaping
School of Information Engineering, Henan University of Science & Technology, Luoyang 4 71023, China
关键词:
网络化控制系统; 虚假数据注入; 均值滤波; 事件触发; 不确定性; 非线性
Keywords:
networked control systems;  false data injection;  mean filtering;  event-triggered;  uncertainty; nonlinearity
分类号:
T P273TP393.08
DOI:
10.13705/j.issn.1671-6833.2026.02.018
文献标志码:
A
摘要:
本文针对一类存在网络诱导时延、不确定性、外界干扰、非线性的网络化控制系统，对其在遭受虚假数据注入(FDI)攻击时的安全控制问题进行了研究。首先，针对现有触发机制未充分考虑突发数据导致网络资源浪费的问题，设计了基于均值滤波的动态自适应事件触发机制(MF-DAETM)。该机制通过引入均值滤波思想，有效减少了因突发数据引发的意外触发，节省了网络资源。其次，利用伯努利变量对FDI攻击进行建模，并综合考虑网络诱导时延、不确定性、外界干扰及非线性等因素，构建了统一的闭环时滞系统模型。在此基础上，结合Lyapunov-Krasovskii泛函方法与线性矩阵不等式(LMI)技术，推导出保证闭环系统H渐近稳定的充分条件，并提出了MF-DAETM与鲁棒控制器的协同设计方法。最后，采用数值仿真与实例仿真验证了所提方法的有效性。实验结果表明，在系统控制数据分别被篡改21.2%与26.7%的情形下，系统仍能趋于稳定，具有较强的鲁棒性能。在实例仿真情形下，相较改进前的触发机制，MF-DAETM对资源的利用率提升23.4%。
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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更新日期/Last Update: 2026-06-29