Journal of Lanzhou University of Technology

Journal of Lanzhou University of Technology >

2026 , Vol. 52 >Issue 4: 72 - 83

DOI: https://doi.org/10.13295/j.cnki.issn1673-5196.2026.04.009

Automation Technique and Computer Technology

Robust security control of networked systems with hybrid attacks and access constraints

  • ZHU Chao-qun ,
  • ZU Wen-bo
Expand
  • 1. School of Automation and Electrical Engineering, Lanzhou University of Technology, Lanzhou 730050, China;
    2. Key Laboratory of Gansu Advanced Control for Industrial Processes, Lanzhou University of Technology, Lanzhou 730050, China;
    3. National Demonstration Center for Experimental Electrical and Control Engineering Education, Lanzhou University of Technology, Lanzhou 730050, China

Received date: 2024-06-06

  Online published: 2026-09-03

Fold

Abstract

In this paper, the robust security control problem is investigated for networked control systems with hybrid cyber attacks and medium access constraints. Firstly, considering the pattern characteristics of hybrid cyber attacks and the stochastic communication mechanism of sensor access constraints, the networked systems are modeled as Markov jump systems with multiple modes. Secondly, sufficient conditions for the stochastic stability of the closed-loop systems are derived by utilizing Lyapunov stability theory and linear matrix inequality (LMI) techniques, and the robust security control strategy with the prescribed H∞ performance is developed. Finally, an illustrative example is given to demonstrate the correctness and effectiveness of the proposed control method.

Key words： networked control systems; hybrid cyber attacks; medium access constraints; H∞ robust control

Cite this article

ZHU Chao-qun , ZU Wen-bo . Robust security control of networked systems with hybrid attacks and access constraints[J]. Journal of Lanzhou University of Technology, 2026 , 52(4) : 72 -83 . DOI: 10.13295/j.cnki.issn1673-5196.2026.04.009

References

[1] Zhang J,Peng C,Masroor S,et al.Stability analysis of networked control systems with denial-of-service attacks[C]//2016 UKACC 11th International Conference on Control (CONTROL).Belfast,United Kingdom:IEEE,2016:1-6.
[2] 李炜,史娅红.离散事件触发NCS的容错与容侵协同设计方法[J].兰州理工大学学报,2020,46(1):83-92.
[3] Guan Y,Ge X.Distributed attack detection and secure estimation of networked cyber-physical systems against false data injection attacks and jamming attacks[J].IEEE Transactions on Signal and Information Processing Over Networks,2018,4(1):48-59.
[4] Zhang C,Ye D,Wei M,et al.Dynamic event-triggered resilient network-level control for microgrids subject to FDI attacks[J].Nonlinear Dynamics,2024,112(11):9195-9207.
[5] Hao J,Zhang Y.Consensus Kalman filtering for sensor networks based on FDI attack detection[C]//2020 16th International Conference on Control, Automation, Robotics and Vision (ICARCV).Shenzhen,China:IEEE,2020:160-165.
[6] Li J,Zhang Y.Resilient DoS attack detector design for cyber-physical systems[C]//2023 12th International Conference on Renewable Energy Research and Applications (ICRERA).Oshawa,ON,Canada:IEEE,2023:1-5.
[7] Sahoo S,Peng J C,Devakumar A,et al.On detection of false data in cooperative DC microgrids:a discordant element approach[J].IEEE Transactions on Industrial Electronics,2020,67(8):6562-6571.
[8] Zhou J,Chen B,Yu L.Intermediate-variable-based estimation for FDI attacks in cyber-physical systems[J].IEEE Transactions on Circuits and Systems II:Express Briefs,2020,67(11):2762-2766.
[9] Liu C,Du D,Zhang C,et al.Observability analysis of networked control systems under DoS attacks[C]//IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society.Singapore:IEEE,2023:1-6.
[10] Yang H,Dai L,Xie H,et al.Dual-mode resilient model predictive control for cyber-physical systems against DoS attacks[J].International Journal of Robust and Nonlinear Control,2024,34(8):5364-5383.
[11] Xiang C,Qiu L,Pan J,et al.Predictive feedback control based on DoS attacks network control system[C]//2020 IEEE 16th International Conference on Control & Automation (ICCA).Singapore:IEEE,2020:1189-1192.
[12] Liu R,Hao F,Yu H.Optimal SINR-based DoS attack scheduling for remote state estimation via adaptive dynamic programming approach[J].IEEE Transactions on Systems,Man,and Cybernetics:Systems,2021,51(12):7622-7632.
[13] Li Y,Quevedo D E,Dey S,et al.SINR-based DoS attack on remote state estimation:a game-theoretic approach[J].IEEE Transactions on Control of Network Systems,2017,4(3):632-642.
[14] 祝超群,黄鹏.DoS攻击下信息物理系统事件触发保性能控制[J].兰州理工大学学报,2022,48(6):74-80.
[15] 庞新蕊,付兴建.模态依赖时滞不确定Markov跳变系统的鲁棒H∞容错控制[J].兰州理工大学学报,2020,46(1):100-105.
[16] Leitao P,Karnouskos S,Ribeiro L,et al.Smart agents in industrial cyber-physical systems[J]. Proceedings of the IEEE,2016,104(5):1086-1101.
[17] Zhang H,Hu J,Yi X,et al.Stabilization of discrete delayed system with Markovian packet dropouts under stochastic communication protocol via sliding mode approach[J].Journal of the Franklin Institute,2024,361(3):1524-1543.
[18] Wang L,Yue W.A dwell time switching approach to channel assignment for stabilization of NCSs with medium access constraint[J].IEEE Access,2019,7:107311-107319.
[19] Longo S,Herrmann G,Barber P.Robust scheduling of sampled-data networked control systems[J]. IEEE Transactions on Control Systems Technology,2012,20(6):1613-1621.
[20] Song H,Yu L,Zhang W A.Stabilisation of networked control systems with communication constraints and multiple distributed transmission delays[J].IET Control Theory & Applications,2009,3(10):1307-1316.
[21] 杜明莉,周川,陈庆伟,等.具有通信约束的网络控制系统动态调度与H∞控制协同设计[J].控制理论与应用,2012,29(9):1132-1138.
[22] Zou L,Wang Z,Han Q L,et al.Ultimate boundedness control for networked systems with try-once-discard protocol and uniform quantization effects[J].IEEE Transactions on Automatic Control,2017,62(12):6582-6588.
[23] Sun H,Hou L,Wei Y.Decentralized dynamic event-triggered output feedback adaptive fixed-time funnel control for interconnection nonlinear systems[J].IEEE Transactions on Neural Networks and Learning Systems,2024,35(1):1364-1378.
[24] Zhu C,Yang B,Zhu X,et al. Stabilization of linear systems over networks with limited communication capacity[J].IEEE Access,2019,7:123625-123637.
[25] Elahi A,Alfi A.Stochastic H∞ finite-time control of networked cascade control systems under limited channels,network delays and packet dropouts[J].ISA Transactions,2020,97:352-364.
[26] Yu M,Bai S,Yang T,et al.Quantized output feedback control of networked control systems with packet dropout[J].International Journal of Control,Automation and Systems,2018,16(5):2559-2568.
[27] Zhang J,Ma L,Liu Y,et al.H∞ and L2–L∞ finite-horizon filtering with randomly occurring gain variations and quantization effects[J].Applied Mathematics and Computation,2017,298:171-187.
[28] 祝超群,张磐,王志文.具有介质访问约束的网络化控制系统H∞状态估计[J]. 控制工程,2024,31(2):212-221.
[29] Liu J,Wang Y,Zha L,et al.An event-triggered approach to security control for networked systems using hybrid attack model[J].International Journal of Robust and Nonlinear Control,2021,31(12):5796-5812.
[30] Chen P,Zhang D,Yu L,et al.Dynamic event-triggered output feedback control for load frequency control in power systems with multiple cyber attacks[J].IEEE Transactions on Systems,Man,and Cybernetics:Systems,2022,52(10):6246-6258.
Options
Outlines

/

〈 〉