Please wait a minute...
浙江大学学报(工学版)  2025, Vol. 59 Issue (4): 832-841    DOI: 10.3785/j.issn.1008-973X.2025.04.019
计算机技术与控制工程     
拒绝服务攻击下的有限时间控制
叶洁(),石厅*(),闫文君
杭州电子科技大学 自动化学院,浙江 杭州 310018
Finite-time control under denial-of-service attack
Jie YE(),Ting SHI*(),Wenjun YAN
School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China
 全文: PDF(1467 KB)   HTML
摘要:

针对遭受外部干扰的离散网络控制系统,研究在拒绝服务(DoS)攻击下的有限时间控制问题. 考虑到DoS攻击可能同时存在于传感器-控制器(S-C)通道和控制器-执行器(C-A)通道,采用马尔可夫随机过程对DoS攻击的动态特性进行建模,将闭环控制系统表示为具有4个模态的马尔可夫跳变系统. 为了降低外部干扰对系统性能的影响,引入${\ell _2} - {\ell _\infty }$性能指标,增强闭环系统的抗干扰鲁棒性. 基于有限时间有界理论,构建适当的模态依赖李雅普诺夫函数,应用李雅普诺夫稳定性理论推导出控制算法的设计条件. 通过求解线性矩阵不等式(LMIs),给出有限时间状态反馈控制器的充分条件,确保系统在有限时间内保持稳定并满足给定的性能要求. 通过数值仿真和角度定位系统验证该控制算法的有效性及实用性. 仿真结果表明,在不同的DoS攻击模式下,该控制算法能够有效抑制系统的波动并保证系统在有限时间内的稳定性.

关键词: 网络控制系统有限时间控制拒绝服务攻击马尔可夫随机过程马尔可夫跳变系统    
Abstract:

For a class of discrete networked control systems subject to external disturbances, the finite-time control problem under denial-of-service (DoS) attacks was investigated. Considering that DoS attacks could occur simultaneously in both the sensor-to-controller (S-C) and controller-to-actuator (C-A) channels, a Markov stochastic process was employed to model the dynamic characteristics of DoS attacks. The closed-loop control system was represented as a Markov jump system with four modes. To mitigate the impact of external disturbances on system performance, a ${\ell _2} - {\ell _\infty }$ performance index was introduced to enhance the disturbance robustness of the closed-loop system. Based on the finite-time boundedness theory, appropriate mode-dependent Lyapunov functions were constructed, and the Lyapunov stability theory was applied to derive the design conditions for the control algorithm. A set of linear matrix inequalities (LMIs) was solved to provide sufficient conditions for the finite-time state feedback controller, ensuring that the system remained stable within a finite time while meeting the specified performance requirements. The effectiveness and practicality of the control algorithm were demonstrated through numerical simulations and an angular positioning system. Simulation results indicated that, under different DoS attack patterns, the control algorithm effectively suppressed system fluctuations and ensured finite-time stability.

Key words: networked control systems    finite-time control    denial-of-service attack    Markov stochastic process    Markov jump system
收稿日期: 2024-01-25 出版日期: 2025-04-25
CLC:  TP 273  
基金资助: 浙江省自然科学基金资助项目(LY21F030007).
通讯作者: 石厅     E-mail: 221060032@hdu.edu.cn;tingshi@hdu.edu.cn
作者简介: 叶洁(1999—),男,硕士生,从事网络控制系统安全研究. orcid.org/0009-0001-1295-3023. E-mail:221060032@hdu.edu.cn
服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
作者相关文章  
叶洁
石厅
闫文君

引用本文:

叶洁,石厅,闫文君. 拒绝服务攻击下的有限时间控制[J]. 浙江大学学报(工学版), 2025, 59(4): 832-841.

Jie YE,Ting SHI,Wenjun YAN. Finite-time control under denial-of-service attack. Journal of ZheJiang University (Engineering Science), 2025, 59(4): 832-841.

链接本文:

https://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2025.04.019        https://www.zjujournals.com/eng/CN/Y2025/V59/I4/832

图 1  网络控制系统结构
图 2  状态响应变量、控制输入和有界变量的单次仿真及多次仿真平均值的变化趋势(示例1)
图 3  不同转移矩阵下拒绝服务攻击模态的变化情况
图 4  状态响应变量和有界变量的多次仿真平均值变化趋势
图 5  状态响应变量、控制输入和有界变量的单次仿真及多次仿真平均值的变化趋势(示例2)
1 HU Z, CHEN K, DENG F, et al ${H_\infty }$ controller design for networked systems with two-channel packet dropouts and FDI attacks[J]. IEEE Transactions on Cybernetics, 2024, 54 (3): 1661- 1670
doi: 10.1109/TCYB.2022.3233065
2 QIU L, SHI Y, YAO F, et al Network based robust ${H_2}/{H_\infty }$control for linear systems with two-channel random packet dropouts and time delays[J]. IEEE Transactions on Cybernetics, 2015, 45 (8): 1450- 1462
doi: 10.1109/TCYB.2014.2352291
3 JIAO S, XU S Observed-mode-dependent nonfragile control of networked control systems under hidden DoS attacks[J]. IEEE Transactions on Control of Network Systems, 2024, 11 (1): 139- 149
doi: 10.1109/TCNS.2023.3272824
4 GUO L, ZHANG D. ${H_\infty }$ filtering for networked control systems with two-channel packet dropouts and mixed random delays using delta operator [C]// Proceedings of the IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society . Washington: IEEE, 2018: 5889–5894.
5 XU J, GU G, GUPTA V, et al Optimal stationary state estimation over multiple Markovian packet drop channels[J]. Automatica, 2021, 128: 109561
doi: 10.1016/j.automatica.2021.109561
6 WU W, GAO W, LIN J. Data-based predictive control with delay compensation for networked nonlinear systems with packet dropouts and delays in two channels [C]// Proceedings of the Chinese Automation Congress . Jinan: IEEE, 2017: 2888–2893.
7 李志强. 拒绝服务攻击下信息物理系统的事件触发安全控制研究 [D]. 北京: 北京科技大学, 2022: 1–155.
LI Zhiqiang. Event-triggered security control of cyber-physical systems under denial-of-service attacks [D]. Beijing: University of Science and Technology Beijing, 2022: 1–155.
8 ZENG P, DENG F, ZHANG H, et al Event-based ${H_\infty }$control for discrete-time fuzzy Markov jump systems subject to DoS attacks[J]. IEEE Transactions on Fuzzy Systems, 2022, 30 (6): 1853- 1863
doi: 10.1109/TFUZZ.2021.3069345
9 程志键. 攻击环境下网络化系统的状态估计问题研究[D]. 合肥: 中国科学技术大学, 2022: 1–127.
CHENG Zhijian. Research on state estimation of networked systems in attack environment [D]. Hefei: University of Science and Technology of China, 2022: 1–127.
10 MA L, ZHANG Y, YANG C, et al Security control for two-time-scale cyber physical systems with multiple transmission channels under DoS attacks: the input-to-state stability[J]. Journal of the Franklin Institute, 2021, 358 (12): 6309- 6325
doi: 10.1016/j.jfranklin.2021.05.017
11 WANG X, YANG H, ZHONG S Improved results on consensus of nonlinear MASs with nonhomogeneous Markov switching topologies and DoS cyber attacks[J]. Journal of the Franklin Institute, 2021, 358 (14): 7237- 7253
doi: 10.1016/j.jfranklin.2021.07.044
12 CHENG G, LIU H Asynchronous finite-time ${H_\infty }$ filtering for linear neutral semi-Markovian jumping systems under hybrid cyber attacks[J]. Journal of the Franklin Institute, 2023, 360 (3): 1495- 1522
doi: 10.1016/j.jfranklin.2022.12.025
13 YANG W, ZHANG Y, CHEN G, et al Distributed filtering under false data injection attacks[J]. Automatica, 2019, 102: 34- 44
doi: 10.1016/j.automatica.2018.12.027
14 GUO H, PANG Z, SUN J, et al An output-coding-based detection scheme against replay attacks in cyber-physical systems[J]. IEEE Transactions on Circuits and Systems II: Express Briefs, 2021, 68 (10): 3306- 3310
15 HE H, CHEN Y, QI W, et al Observer-based resilient control of positive systems with heterogeneous DoS attacks: a Markov model approach[J]. Journal of the Franklin Institute, 2022, 359 (1): 272- 293
doi: 10.1016/j.jfranklin.2021.04.034
16 HUANG L, GUO J, LI B Observer-based dynamic event-triggered robust ${H_\infty }$control of networked control systems under DoS attacks[J]. IEEE Access, 2021, 9: 145626- 145637
doi: 10.1109/ACCESS.2021.3121689
17 ZHENG X, ZHANG H, WANG L, et al Dynamic event-based distributed piecewise filtering over sensor networks under periodic DoS attacks[J]. IEEE Transactions on Control of Network Systems, 2023, 10 (2): 853- 864
doi: 10.1109/TCNS.2022.3210858
18 TIAN E, WANG X, PENG C Probabilistic-constrained distributed filtering for a class of nonlinear stochastic systems subject to periodic DoS attacks[J]. IEEE Transactions on Circuits and Systems I: Regular Papers, 2020, 67 (12): 5369- 5379
doi: 10.1109/TCSI.2020.3007953
19 XU Q, ZHANG N, QI W Finite-time control for discrete-time nonlinear Markov switching LPV systems with DoS attacks[J]. Applied Mathematics and Computation, 2023, 443: 127783
doi: 10.1016/j.amc.2022.127783
20 YE Z, ZHANG D, YAN H, et al A semi-Markovian jumping system approach to secure DPC of nonlinear networked unmanned marine vehicle systems with DoS attack[J]. Journal of the Franklin Institute, 2023, 360 (16): 12552- 12575
doi: 10.1016/j.jfranklin.2021.07.054
21 QI W, HOU Y, PARK J, et al SMC for discrete-time networked semi-Markovian switching systems with random DoS attacks and applications[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023, 53 (3): 1982- 1993
doi: 10.1109/TSMC.2022.3211322
22 SHI T, SHI P, CHAMBERS J Dynamic event-triggered model predictive control under channel fading and denial-of-service attacks[J]. IEEE Transactions on Automation Science and Engineering, 2024, 21 (4): 6448- 6459
doi: 10.1109/TASE.2023.3325534
23 YUAN Y, YUAN H, HO D, et al Resilient control of wireless networked control system under denial-of-service attacks: a cross-layer design approach[J]. IEEE Transactions on Cybernetics, 2020, 50 (1): 48- 60
doi: 10.1109/TCYB.2018.2863689
24 ZHAO N, SHI P, XING W, et al Resilient adaptive event-triggered fuzzy tracking control and filtering for nonlinear networked systems under denial-of-service attacks[J]. IEEE Transactions on Fuzzy Systems, 2022, 30 (8): 3191- 3201
doi: 10.1109/TFUZZ.2021.3106674
25 GENG Q, YANG H, LI L, et al Hybrid dynamic event-triggered tracking control of wheeled mobile robots against stochastic DoS attacks[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023, 53 (12): 7805- 7813
doi: 10.1109/TSMC.2023.3299269
26 LIAN J, LI H, WU F, et al. Time-triggered control of double channel transmission networked switched systems under DoS attacks [C]// Proceedings of the 42nd Chinese Control Conference . Tianjin: IEEE, 2023: 5263–5268.
27 黄鹤, 谢德晓, 韩笑冬, 等 具有随机丢包的一类网络控制系统的故障检测[J]. 控制理论与应用, 2011, 28 (1): 79- 86
HUANG He, XIE Dexiao, HAN Xiaodong, et al Fault detection for networked control system with random packet dropout[J]. Control Theory and Applications, 2011, 28 (1): 79- 86
28 ZHANG H, XU S Finite-time almost sure stability of a Markov jump fuzzy system with delayed inputs[J]. IEEE Transactions on Fuzzy Systems, 2022, 30 (6): 1801- 1808
doi: 10.1109/TFUZZ.2021.3067797
29 WANG Z, SHEN L, XIA J, et al Finite-time non-fragile ${l_2} - {l_\infty }$ control for jumping stochastic systems subject to input constraints via an event-triggered mechanism[J]. Journal of the Franklin Institute, 2018, 355 (14): 6371- 6389
doi: 10.1016/j.jfranklin.2018.06.030
30 ZHAO Y, MA Y Adaptive event-triggered finite-time sliding mode control for singular T-S fuzzy Markov jump systems with asynchronous modes[J]. Communications in Nonlinear Science and Numerical Simulation, 2023, 126: 107465
doi: 10.1016/j.cnsns.2023.107465
31 DORATO P. Short-time stability in linear time-varying systems [R]. Brooklyn: Polytechnic Institute of Brooklyn, 1961: 83–87.
32 AMATO F, ARIOLA M, DORATO P Finite-time control of linear systems subject to parametric uncertainties and disturbances[J]. Automatica, 2001, 37 (9): 1459- 1463
doi: 10.1016/S0005-1098(01)00087-5
33 LI F, SHEN H, CHEN M, et al Non fragile finite-time ${l_2} - {l_\infty }$ state estimation for discrete-time Markov jump neural networks with unreliable communication links[J]. Applied Mathematics and Computation, 2015, 271: 467- 481
doi: 10.1016/j.amc.2015.09.029
34 CHEN H, GAO F Finite-time asynchronous state estimation for jump systems with partial transition probabilities via redundant channels: a co-design method[J]. Journal of the Franklin Institute, 2021, 358 (18): 10095- 10120
doi: 10.1016/j.jfranklin.2021.09.032
35 SHEN H, LIU X, XIA J, et al Finite-time energy-to-peak fuzzy filtering for persistent dwell-time switched nonlinear systems with unreliable links[J]. Information Sciences, 2021, 579: 293- 309
doi: 10.1016/j.ins.2021.07.081
36 REN H, ZONG G, QIAN X, et al Hybrid event-based asynchronous finite-time control for cyber-physical switched systems under denial-of-service attacks[J]. Journal of the Franklin Institute, 2023, 360 (2): 1036- 1057
doi: 10.1016/j.jfranklin.2022.11.028
37 YE Z, ZHANG D, DENG C, et al Finite-time resilient sliding mode control of nonlinear UMV systems subject to DoS attacks[J]. Automatica, 2023, 156: 111170
doi: 10.1016/j.automatica.2023.111170
[1] 丁三波,张康,杨飞生,张家安. 基于动态量化的电力系统事件触发负荷频率控制[J]. 浙江大学学报(工学版), 2023, 57(7): 1460-1469.
[2] 黄晓烁,何衍,蒋静坪. 基于互联网无刷直流电机传动系统的控制策略[J]. J4, 2013, 47(5): 831-836.
[3] 于晓明, 蒋静坪. 基于神经网络延时预测的自适应网络控制系统[J]. J4, 2012, 46(2): 194-198.
[4] 孙坚栋,蒋静坪. 具有时延和丢包的网络控制系统的镇定[J]. J4, 2011, 45(9): 1593-1597.
[5] 鲁仁全, 魏强, 薛安克. 基于线性量化的网络控制系统状态观测器设计[J]. J4, 2010, 44(7): 1400-1405.
[6] 王柱锋 李丽春 黄杭美. 延时预测内模网络控制系统[J]. J4, 2008, 42(11): 1885-1888.
[7] 陈宁宁 朱轶强 蒋静坪. 基于Internet的网络控制系统H∞鲁棒控制[J]. J4, 2007, 41(2): 249-253.