A Resilient Control Scheme for Networked Control Systems under Randomly Activated DoS Attacks

Wenyi Gao

doi:10.6919/ICJE.202505_11(5).0029

Authors

Wenyi Gao

DOI:

https://doi.org/10.6919/ICJE.202505_11(5).0029

Keywords:

Denial-of-service Attack; Networked Discrete System; Lyapunov Function.

Abstract

In this paper, the elastic safety control problem of nonlinear active quarter vehicle suspension systems (AQVSSs) under random activation denial-of-service (DoS) attack is studied. Firstly, a class of networked discrete system model is established. Then, a DoS attack model with random activation is proposed, and a resilient controller is designed based on this model. Secondly, the augmented networked system model is derived, and the exponential stability of the system under the premise of index is obtained by establishing the Lyapunov function. Finally, the advanced nature and theoretical value of the proposed algorithm are verified by simulation.

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References

[1] Shan Y, Xie X, Wu J, et al. Covert-Switching-Based Attack Mechanism and Resilient Observer-Assisted Control Strategy for Nonlinear Cyber-Physical Systems[J]. IEEE Internet of Things Journal, 2025, doi: 10.1109/JIOT.2025.3537582.

[2] Wang L, Wang Z, Wei G, et al. Observer-based consensus control for discrete-time multiagent systems with coding–decoding communication protocol[J]. IEEE Transactions on Cybernetics, 2018, 49(12): 4335-4345.

[3] Wang X, Wang X, Su H, et al. Coordination control for uncertain networked systems using interval observers[J]. IEEE transactions on cybernetics, 2019, 50(9): 4008-4019.

[4] Peixoto M L C, Coutinho P H S, Bessa I, et al. Event‐triggered control of Takagi‐Sugeno fuzzy systems under deception attacks[J]. International Journal of Robust and Nonlinear Control, 2023, 33(13): 7471-7487.

[5] Coutinho P H S, Bessa I, Pessim P S P, et al. A switching approach to event-triggered control systems under denial-of-service attacks[J]. Nonlinear Analysis: Hybrid Systems, 2023, 50: 101383.

[6] Wakaiki M, Cetinkaya A, Ishii H. Stabilization of networked control systems under DoS attacks and output quantization[J]. IEEE Transactions on Automatic Control, 2019, 65(8): 3560-3575.

[7] Wang X, Tian E, Zheng W X, et al. Important-data-based DoS attack mechanism and resilient H∞ filter design for networked T–S fuzzy systems[J]. IEEE Transactions on Cybernetics, 2023, 54(5): 3352-3362.

[8] Zhang H, Cheng P, Shi L, et al. Optimal DoS attack scheduling in wireless networked control system[J]. IEEE Transactions on Control Systems Technology, 2015, 24(3): 843-852.

[9] Shan Y, Xie X, Sun J, et al. Observer-based adaptive event-triggered control for nonlinear networked systems under multiple cyber attacks[J]. IEEE Transactions on Fuzzy Systems, 2024, doi: 10.1109/TFUZZ.2024.3418953.

[10] Shan Y, Xie X P, Sun N. Co-Design of Enhanced Fuzzy Observer-Based Estimation and Gain-Scheduling Control for Active Suspension Systems Under Malicious Attacks[J]. IEEE Transactions on Intelligent Transportation Systems, 2025, doi: 10.1109/TITS.2025.3535710.

[11] Sun H, Sun J, Chen J. Analysis and synthesis of networked control systems with random network-induced delays and sampling intervals[J]. Automatica, 2021, 125: 109385.