Predictive compensation control of cyber physical systems under hybrid cyber attacks

Abstract

Abstract: The predictive compensation control problem is investigated based on output feedback for cyber-physical systems (CPS) under hybrid cyber attacks. A compensation control method with multi-step prediction is proposed. Firstly, according to the characteristics of hybrid cyber attacks and attack energy constraints, a switching system model of CPS with an embedded subsystem structure is established. Secondly, sufficient conditions for the exponential stability of the systems are derived by utilizing Lyapunov stability theory and linear matrix inequality technology. Then an output feedback-based predictive compensation control strategy is presented to achieve stabilization control of CPS. Finally, a simulation example of a networked DC motor system is provided to demonstrate the correctness and effectiveness of the proposed method.

Key words: cyber-physical systems, hybrid cyber attacks, switching system, predictive compensation, output feedback control

CLC Number:

TP273

ZHU Chao-qun, XIN Wen-rui. Predictive compensation control of cyber physical systems under hybrid cyber attacks[J]. Journal of Lanzhou University of Technology, 2025, 51(2): 71-77.

References

[1] MUHAMMED G,RESUL D.Cyber-security on smart grid:threats and potential solutions [J].Computer Networks,2020,169:1-14.
[2] ISHAANI P,RAGHVENDRA K,ROHIT S,et al.Identifying cyber insecurities in trustworthy space and energy sector for smart grids [J].Computers & Electrical Engineering,2021,93(6):112-127.
[3] QI R,JI S,SHEN J,et al.Security preservation in industrial medical CPS using Chebyshev map:an AI approach [J].Future Generation Computer Systems,2021,122:52-62.
[4] KAKAN D,RYAN F,SHOFIQ A.Future of transportation cyber-physical systems-smart cities regions [J].Transportation Cyber-Physical Systems,2018,11:267-307.
[5] SHI D,ELLIOTT R J,CHEN T.On finite-state stochastic modeling and secure estimation of cyber-physical systems [J].IEEE Transactions on Automatic Control,2016,62(1):65-80.
[6] 安天研究院,广东省电力系统网络安全企业重点实验室.委内瑞拉大规模停电事件的初步分析与思考启示 [J].信息安全与通信保密,2019(5):28-39.
[7] GUO L,ZHENG B C,LIU X.Event-triggered sliding-mode control of linear uncertain system under periodic DoS attacks [C]//2020 Chinese Control and Decision Conference.Hefei:[s.n.],2020:1080-1085.
[8] LIU S,HU Z,WANG X,et al.Stochastic stability analysis and control of secondary frequency regulation for islanded microgrids under random denial of service attacks [J].IEEE Transactions on Industrial Informatics,2019,15(7):4066-4075.
[9] 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 & Information Processing Over Networks,2018,4(1):48-59.
[10] ZAHRA K,AKBAR S,FARSHID N,et al.A secure hybrid dynamic state estimation approach for power systems under false data injection attacks [J].IEEE Transactions on Industrial Informatics,2020,16(12):7275-7286.
[11] HUANG J S,ZHAO L,WANG Q G.Adaptive control of a class of strict feedback nonlinear systems under replay attacks [J].ISA Transactions,2020,107:134-142.
[12] GIUSEPPE F,FRANCESCO T,DOMENICO F.Resilience against replay attacks:a distributed model predictive control scheme for networked multi-agent systems [J].IEEE/CAA Journal of Automatic Sinica,2020,8(3):628-640.
[13] HAN Y,LIAN J,HUANG X.Event-triggered H_∞ control of networked switched systems subject to denial-of-service attacks [J].Nonlinear Analysis Hybrid Systems,2020,38:1-14.
[14] 李炜,魏凯锋,李亚洁,等.DoS攻击下CPS双重安全控制与通讯的协同设计 [J].兰州理工大学学报,2020,46(6):85-97.
[15] DENG Y,YIN X,HU S.Event-triggered predictive control for networked control systems with DoS attacks [J].Information Sciences,2020,542:71-91.
[16] REDA A,HICHAM J.Stabilization of cyber physical system with data packet dropout and replay attack via switching system approach [C]//Proceedings of the 4th Conference on Control and Fault Tolerant Systems.Casablanca:[s.n.],2019:325-329.
[17] GIUSEPPE F,FRANCESCO T,WALTER L.Resilient control for cyber-physical systems subject to replay attacks [J].IEEE Control Systems Letters,2019,3(4):984-989.
[18] SU Y,WU J,LONG C,et al.Event-triggered control for networked control systems under replay attacks [C]//2018 Chinese Automation Congress.Xi’an:[s.n.],2018:2636-2641.
[19] MAGID M,MUTAZ H,UTHMAN B.Secure control of cyber physical systems subject to stochastic distributed DoS and deception attacks [J].International Journal of Systems Science,2020,51(9):1653-1668.
[20] LIU S,LIU Y,LI S,et al.H_∞ control for time-varying cyber-physical system under randomly occurring hybrid attacks:the output feedback case [J].IEEE Access,2020,8:60780-60789.
[21] ZHAO Y B,LIU G P,DAVID R.Actively compensating for data packet disorder in networked control systems [J].IEEE Transactions on Circuits & Systems II:Express Briefs,2010,57(11):913-917.
[22] LEON S J,DE PILLIS L.Linear algebra with applications [M].London:Pearson,2013:150-164.
[23] OLIVEIRA M,BERNUSSOU J.A new discrete-time robust stability condition [J].Systems & Control Letters,1999,37(4):261-265.
[24] CRUSIUS R,ALEXANDRE T.Sufficient LMI conditions for output feedback control problems [J].IEEE Transactions on Automatic Control,1999,44(5):103-107.
[25] ZHANG H,PENG C,SUN H.State estimation-based security control for networked systems under hybrid attacks [J].Communications in Computer and Information Science,2017,762:467-476.
[26] 王志文,刘伟.拒绝服务攻击下信息物理系统事件触发广义预测控制 [J].上海交通大学学报,2020,54(9):910-915.