基于自适应滑模控制策略的信息物理系统事件触发安全控制

兰州理工大学学报 ›› 2026, Vol. 52 ›› Issue (3): 81-90.

• 自动化技术与计算机技术 • 上一篇下一篇

基于自适应滑模控制策略的信息物理系统事件触发安全控制

祝超群^*1,2,3, 李天成¹

1.兰州理工大学自动化与电气工程学院, 甘肃兰州 730050;
2.兰州理工大学甘肃省工业过程先进控制重点实验室, 甘肃兰州 730050;
3.兰州理工大学电气与控制工程国家级实验教学示范中心, 甘肃兰州 730050

收稿日期:2024-05-17 出版日期:2026-06-28 发布日期:2026-06-30
通讯作者: 祝超群(1977-),男,新疆塔城人,博士,副教授.Email:chaoqunzhu@yeah.net
基金资助:
国家自然科学基金(62363024),甘肃省科技重大专项(21ZD4GA028)

Event-triggered security control of cyber-physical systems using an adaptive sliding mode control strategy

ZHU Chao-qun^1,2,3, LI Tian-cheng¹

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:2024-05-17 Online:2026-06-28 Published:2026-06-30

摘要/Abstract

摘要： 针对一类受到混合网络攻击的离散时间非线性信息物理系统,研究了系统的事件触发自适应滑模控制问题.首先,为了降低网络通信负担,在量测信道中引入了自适应事件触发通信机制,同时考虑到系统受到的混合网络攻击模式特征,基于滑模动态和误差动态建立了增广闭环系统模型;其次,借助李雅普诺夫稳定性理论和线性不等式技术导出了闭环系统渐近稳定的充分条件,进而采用一种新型自适应滑模控制律,以补偿混合攻击对系统性能造成的负面影响,并确保系统状态被驱使到准滑模域中,保证了滑模域的可达性;最后,通过仿真算例验证了本文所提出控制方法的有效性与优越性.

关键词: 信息物理系统, 拒绝服务攻击, 虚假数据注入攻击, 自适应事件触发, 滑模控制

Abstract: In this paper, the event-triggered adaptive sliding mode control problem is investigated for a class of discrete-time nonlinear cyber-physical systems under hybrid cyber attacks. Firstly, the adaptive event-triggered communication mechanism is introduced in the measurement channels to reduce the communication load. By considering the mode characteristics of hybrid cyber attacks, an augmented closed-loop system model is established based on sliding mode and error dynamics. Secondly, in terms of Lyapunov stability theory and linear inequality technique, sufficient conditions are derived to ensure the asymptotic stability of the augmented closed-loop system. Furthermore, a new adaptive sliding mode control law is proposed to compensate for the negative impact of hybrid cyber attacks on system performance, ensuring that the system state is driven into the quasi sliding mode domain and guaranteeing the accessibility of the sliding region. Finally, the effectiveness and superiority of the proposed control method are verified by a simulation example.

Key words: cyber-physical systems, denial of service attacks, false data injection attacks, adaptive event triggering, sliding mode control

中图分类号:

TP273

祝超群, 李天成. 基于自适应滑模控制策略的信息物理系统事件触发安全控制[J]. 兰州理工大学学报, 2026, 52(3): 81-90.

ZHU Chao-qun, LI Tian-cheng. Event-triggered security control of cyber-physical systems using an adaptive sliding mode control strategy[J]. Journal of Lanzhou University of Technology, 2026, 52(3): 81-90.

导出引用管理器 EndNote|Reference Manager|ProCite|BibTeX|RefWorks

链接本文: https://journal.lut.edu.cn/CN/

https://journal.lut.edu.cn/CN/Y2026/V52/I3/81

参考文献

[1] 王琦,邰伟,汤奕,等.面向电力信息物理系统的虚假数据注入攻击研究综述[J].自动化学报,2019,45(1):72-83.
[2] 吴英俊,汝英涛,刘锦涛,等.基于集员滤波的自动发电控制系统虚假数据注入攻击检测[J].电力系统自动化,2022,46(1): 33-41.
[3] 吴巨爱,薛禹胜,谢东亮,等.电动汽车参与运行备用的能力评估及其仿真分析[J].电力系统自动化,2018,42(13):101-107.
[4] 刘金良,顾媛媛,费树岷.基于事件触发和网络攻击的负荷频率控制电力系统H_∞滤波器设计[J].中国科学:信息科学,2018,48(10):1348-1363.
[5] 王国春,董昱,许涛,等.巴西“8.15”大停电事故分析及启示[J].中国电机工程学报,2023,43(24):9461-9470.
[6] LANGNER R.Stuxnet:dissecting a cyberwarfare weapon[J].IEEE Security & Privacy Magazine,2011,9(3):49-51.
[7] HOU M,LIU D,MA Y.Adaptive event-triggered control of Markovian jump complex dynamic networks with actuator faults[J].Neurocomputing,2022,491:273-287.
[8] CHENG X,SCHERPEN J M A,ZHANG F.Model reduction of synchronized homogeneous Lur’e networks with incrementally sector-bounded nonlinearities[J].European Journal of Control,2019,50:11-19.
[9] 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.
[10] WANG C,XIE W,GAO J,et al.Adaptiveevent-based dynamic output feedback control for unmanned marine vehicle systems under denial-of-service attack[J].Electronics,2024,13(3):515.
[11] QI Y,YUAN S,WANG X.Adaptive event-triggered control for networked switched T-S fuzzy systems subject to false data injection attacks[J].International Journal of Control,Automation and Systems,2020,18(10):2580-2588.
[12] GAO Y,MA J,WANG J,et al.Event-triggered adaptive fixed-time secure control for nonlinear cyber-physical system with false data-injection attacks[J].IEEE Transactions on Circuits and Systems II:Express Briefs,2023,70(1):316-320.
[13] WANG L,LING Y,LI T,et al.Asynchronous attack tolerant control for markov jump cyber-physical systems under hybrid cyber-attacks[J].Applied Mathematics and Computation,2024,470:128583.
[14] CAO J,ZHOU J,CHEN J,et al.Sliding mode control for discrete-time systems with randomly occurring uncertainties and nonlinearities under hybrid cyber attacks[J].Circuits,Systems,and Signal Processing,2021,40(12):5864-5885.
[15] HE W,GAO X,ZHONG W,et al.Secure impulsive synchronization control of multi-agent systems under deceptionattacks[J].Information Sciences,2018,459:354-368.
[16] ZHENG B C,ZHAO Y,ZHU Y,et al.Sliding-mode control underdenial-of-service attacks:an event-triggered quantized state feedback approach[J].IEEE Transactions on Circuits and Systems II:Express Briefs,2023,70(8):2949-2953.
[17] WU C,WU L,LIU J,et al.Active defense-based resilient sliding mode control under denial-of-service attacks[J].IEEE Transactions on Information Forensics and Security,2020,15:237-249.
[18] LI M,CHEN Y,ZHANG Y,et al.Adaptive sliding-mode tracking control of networked control systems with false data injection attacks[J].Information Sciences,2022,585:194-208.
[19] XUE Y,REN W,ZHENG B C,et al.Event-triggered adaptive sliding mode control of cyber-physical systems under false data injection attack[J].Applied Mathematics and Computation,2022,433:127403.
[20] MAO D,NIU Y,LI J,et al.Security sliding mode control for networked control system under multi-channel Markovian hybrid cyber-attacks[J].International Journal of Robust and Nonlinear Control,2024,34(2):773-792.
[21] ZHU J,YU X,ZHANG T,et al.Sliding mode control of MIMO Markovian jump systems[J].Automatica,2016,68:286-293.
[22] FAN X,WANG Z.Event-triggered sliding mode control for singular systems with disturbance[J].Nonlinear Analysis:Hybrid Systems,2021,40:101011.
[23] LIU Y,MA Y,WANG Y.Reliable sliding mode finite-time control for discrete-time singular Markovian jump systems with sensor fault and randomly occurring nonlinearities[J].International Journal of Robust and Nonlinear Control,2018,28(2):381-402.
[24] YAO D,ZHANG B,LI P,et al.Event-triggered sliding mode control of discrete-time Markov jump systems[J].IEEE Transactions on Systems,Man,and Cybernetics:Systems,2019,49(10):2016-2025.
[25] LIU Y.Sliding mode control for a class of uncertain discrete switched systems[J].International Journal of Control,Automation and Systems,2018,16(4):1716-1723.
[26] SHEN M,YAN S,ZHANG G.A new approach to event-triggered static output feedback control of networked control systems[J].ISATransactions,2016,65:468-474.
[27] SUN Q,REN J,GUO Y.Dynamic event-triggered sliding mode control for the uncertain discrete-time system using the reaching law[J].Nonlinear Analysis:Hybrid Systems,2023,50:101407.

基于自适应滑模控制策略的信息物理系统事件触发安全控制

Event-triggered security control of cyber-physical systems using an adaptive sliding mode control strategy

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	祝超群, 刘淑慧, 贾玄, 黄苗苗. 全方位攻击下具有混合时滞的信息物理系统安全控制[J]. 兰州理工大学学报, 2026, 52(1): 85-92.
[2]	祝超群, 刘成发. 混合网络攻击下基于观测器的信息物理系统安全控制[J]. 兰州理工大学学报, 2025, 51(6): 82-89.
[3]	冯宜伟, 贾文. 拒绝服务攻击下的智能微网协同自适应弹性控制[J]. 兰州理工大学学报, 2025, 51(4): 81-87.
[4]	祝超群, 辛文睿. 混合网络攻击下信息物理系统预测补偿控制[J]. 兰州理工大学学报, 2025, 51(2): 71-77.
[5]	王君, 李昂. 多四旋翼无人机编队自适应容错控制[J]. 兰州理工大学学报, 2024, 50(4): 69-76.
[6]	姜雅飞, 赵刚. 基于无电网电压传感器的Vienna整流器滑模模型预测控制[J]. 兰州理工大学学报, 2024, 50(1): 84-89.
[7]	高伟, 余伟, 邓召文, 易强. 基于主动转向和空气动力学协调控制的车辆稳定性研究[J]. 兰州理工大学学报, 2023, 49(5): 59-66.
[8]	姜雅飞, 赵刚. 基于滑模预测的T型并网变换器控制研究[J]. 兰州理工大学学报, 2023, 49(4): 82-87.
[9]	祝超群, 贾玄. 网络攻击下基于观测器的信息物理系统输出反馈控制[J]. 兰州理工大学学报, 2023, 49(4): 74-81.
[10]	祝超群, 朱怡蓉. 虚假数据注入攻击下信息物理系统动态输出反馈控制[J]. 兰州理工大学学报, 2023, 49(1): 74-82.
[11]	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.
[12]	王志文, 陈万杰, 孙洪涛. 双端动态事件触发下信息物理系统输出反馈H_∞控制[J]. 兰州理工大学学报, 2022, 48(3): 77-85.
[13]	蒲武军, 潘欢. 社团生成结构的电力信息物理系统鲁棒性分析[J]. 兰州理工大学学报, 2021, 47(3): 78-85.
[14]	王志文, 曹旭, 黄涛. 基于SAE-SVM的CPS攻击检测[J]. 兰州理工大学学报, 2021, 47(2): 72-79.
[15]	颜闽秀, 徐辉. 新分数阶混沌系统的电路设计和同步控制[J]. 兰州理工大学学报, 2021, 47(1): 105-112.