欺骗攻击影响下的跟踪控制
Tracking Control under the Influence ofDeception Attacks
DOI: 10.12677/PM.2024.146228, PDF,   
作者: 李 桓:上海理工大学理学院,上海
关键词: 跟踪控制网络化控制系统欺骗攻击Tracking Control Networked Control System Deception Attack
摘要: 本章研究了欺骗攻击影响下一类线性离散网络的跟踪控制器的设计问题。由于网络环境的开放性,测量信号在传输过程中容易受到欺骗攻击的影响,因此考虑了测量信号传输过程中网络攻击的影响。设计一个跟踪控制器,利用Lyapunov 泛函方法和矩阵不等式技术获得了闭环系统安全性的充分条件。最后,通过一个仿真实例验证了所开发的跟踪控制方案的有效性。
Abstract: This paper investigates the problem of designing a tracking controller for a class of linear discrete networks under the influence of deception attacks. The effect of network attacks during the transmission of measurement signals is considered because of the openness of the network environment and the susceptibility of the measurement signals to deception attacks during the transmission process. A tracking controller is designed and sufficient conditions for the security of the closed-loop system are obtained using the Lyapunov generalization method and matrix inequality technique. Finally, the effectiveness of the developed tracking control scheme is verified by a simulation example.
文章引用:李桓. 欺骗攻击影响下的跟踪控制[J]. 理论数学, 2024, 14(6): 65-81. https://doi.org/10.12677/PM.2024.146228

参考文献

[1] Li, J., Wang, J., Peng, H., Hu, Y. and Su, H. (2022) Fuzzy-Torque Approximation-Enhanced Sliding Mode Control for Lateral Stability of Mobile Robot. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 52, 2491-2500.
https://doi.org/10.1109/tsmc.2021.3050616
[2] He, W., Mu, X., Zhang, L. and Zou, Y. (2021) Modeling and Trajectory Tracking Control for Flapping-Wing Micro Aerial Vehicles. IEEE/CAA Journal of Automatica Sinica, 8, 148-156.
https://doi.org/10.1109/jas.2020.1003417
[3] Li, J., Wang, J., Peng, H., Zhang, L., Hu, Y. and Su, H. (2020) Neural Fuzzy Approximation Enhanced Autonomous Tracking Control of the Wheel-Legged Robot under Uncertain Physical Interaction. Neurocomputing, 410, 342-353.
https://doi.org/10.1016/j.neucom.2020.05.091
[4] Wu, B. and Cao, X. (2018) Robust Attitude Tracking Control for Spacecraft with Quantized Torques. IEEE Transactions on Aerospace and Electronic Systems, 54, 1020-1028.
https://doi.org/10.1109/taes.2017.2773273
[5] Chen, T. and Chen, G. (2017) Distributed Adaptive Tracking Control of Multiple Flexible Spacecraft under Various Actuator and Measurement Limitations. Nonlinear Dynamics, 91, 1571-1586.
https://doi.org/10.1007/s11071-017-3965-4
[6] Zhao, D., Wang, Z., Liu, S., Han, Q. and Wei, G. (2023) Pid Tracking Control under Multiple Description Encoding Mechanisms. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 53, 7025-7037.
https://doi.org/10.1109/tsmc.2023.3290011
[7] Song, J., Niu, Y., Lam, J. and Lam, H. (2018) Fuzzy Remote Tracking Control for Randomly Varying Local Nonlinear Models under Fading and Missing Measurements. IEEE Transactions on Fuzzy Systems, 26, 1125-1137.
https://doi.org/10.1109/tfuzz.2017.2705624
[8] Zhao, X., Liu, C. and Tian, E. (2020) Finite-Horizon Tracking Control for a Class of Stochastic Systems Subject to Input Constraints and Hybrid Cyber Attacks. ISA Transactions, 104, 93- 100.
https://doi.org/10.1016/j.isatra.2019.02.025
[9] Gao, H. and Chen, T. (2008) Network-Based 𝐻∞ Output Tracking Control. IEEE Transactions on Automatic Control, 53, 655-667.
https://doi.org/10.1109/tac.2008.919850
[10] Zhao, J., Huang, Y. and Zang, W. (2023) Optimal Prescribed Performance Tracking Control of Nonlinear Motor Driven Systems via Adaptive Dynamic Programming. Asian Journal of Control, 25, 4499-4511.
https://doi.org/10.1002/asjc.3121
[11] Kanchanaharuthai, A. (2023) Nonlinear Recursive Gain Asymptotic Tracking Controller Design for Hydraulic Turbine Regulating Systems. Asian Journal of Control, 25, 4215-4231.
https://doi.org/10.1002/asjc.3160
[12] Zhang, X., Zhuang, X., Liu, E., Zhang, A. and Qiu, J. (2023). Adaptive Neural Network Finite-Time Command Filter Tracking Control for Nonlinear Systems with Multiple Coupling High-Order Terms and Disturbances. Asian Journal of Control, 25, 4539-4550.
https://doi.org/10.1002/asjc.3105
[13] Xiao, B. and Yin, S. (2019) Exponential Tracking Control of Robotic Manipulators with Uncertain Dynamics and Kinematics. IEEE Transactions on Industrial Informatics, 15, 689-698.
https://doi.org/10.1109/tii.2018.2809514
[14] Zhang, H., Xi, R., Wang, Y., Sun, S. and Sun, J. (2022) Event-Triggered Adaptive Tracking Control for Random Systems with Coexisting Parametric Uncertainties and Severe Nonlinearities. IEEE Transactions on Automatic Control, 67, 2011-2018.
https://doi.org/10.1109/tac.2021.3079279
[15] Wang, Y., Jiang, B., Wu, Z., Xie, S. and Peng, Y. (2021) Adaptive Sliding Mode Fault-Tolerant Fuzzy Tracking Control with Application to Unmanned Marine Vehicles. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51, 6691-6700.
https://doi.org/10.1109/tsmc.2020.2964808
[16] Zhao, X., Wang, X., Ma, L. and Zong, G. (2020) Fuzzy Approximation Based Asymptotic Tracking Control for a Class of Uncertain Switched Nonlinear Systems. IEEE Transactions on Fuzzy Systems, 28, 632-644.
https://doi.org/10.1109/tfuzz.2019.2912138
[17] Li, Z., Chang, X. and Park, J.H. (2021) Quantized Static Output Feedback Fuzzy Tracking Control for Discrete-Time Nonlinear Networked Systems with Asynchronous Event-Triggered Constraints. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51, 3820-3831.
https://doi.org/10.1109/tsmc.2019.2931530
[18] Ye, D., Zou, A. and Sun, Z. (2022) Predefined-Time Predefined-Bounded Attitude Tracking Control for Rigid Spacecraft. IEEE Transactions on Aerospace and Electronic Systems, 58, 464-472.
https://doi.org/10.1109/taes.2021.3103258
[19] Zou, L., Wang, Z., Han, Q. and Yue, D. (2023) Tracking Control under Round-Robin Scheduling: Handling Impulsive Transmission Outliers. IEEE Transactions on Cybernetics, 53, 2288- 2300.
https://doi.org/10.1109/tcyb.2021.3115459
[20] Cui, Y., Liu, Y., Zhang, W. and Alsaadi, F.E. (2021) Sampled-Based Consensus for Nonlinear Multiagent Systems with Deception Attacks: The Decoupled Method. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51, 561-573.
https://doi.org/10.1109/tsmc.2018.2876497
[21] Geng, H., Wang, Z., Alsaadi, F.E., Alharbi, K.H. and Cheng, Y. (2022) Protocol-Based Fusion Estimator Design for State-Saturated Systems with Dead-Zone-Like Censoring under Deception Attacks. IEEE Transactions on Signal and Information Processing over Networks, 8, 37-48.
https://doi.org/10.1109/tsipn.2021.3139351
[22] Qu, F., Tian, E. and Zhao, X. (2023) Chance-Constrained 𝐻∞ State Estimation for Recursive Neural Networks under Deception Attacks and Energy Constraints: The Finite-Horizon Case. IEEE Transactions on Neural Networks and Learning Systems, 34, 6492-6503.
https://doi.org/10.1109/tnnls.2021.3137426
[23] Shen, B., Wang, Z., Wang, D. and Li, Q. (2020) State-Saturated Recursive Filter Design for Stochastic Time-Varying Nonlinear Complex Networks under Deception Attacks. IEEE Transactions on Neural Networks and Learning Systems, 31, 3788-3800.
https://doi.org/10.1109/tnnls.2019.2946290
[24] Song, H., Ding, D., Dong, H. and Han, Q. (2022) Distributed Maximum Correntropy Filtering for Stochastic Nonlinear Systems under Deception Attacks. IEEE Transactions on Cybernetics, 52, 3733-3744.
https://doi.org/10.1109/tcyb.2020.3016093
[25] Yang, Y., Huang, J., Su, X., Wang, K. and Li, G. (2022) Adaptive Control of Second-Order Nonlinear Systems with Injection and Deception Attacks. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 52, 574-581.
https://doi.org/10.1109/tsmc.2020.3003801
[26] Mousavinejad, E., Yang, F., Han, Q. and Vlacic, L. (2018) A Novel Cyber Attack Detection Method in Networked Control Systems. IEEE Transactions on Cybernetics, 48, 3254-3264.
https://doi.org/10.1109/tcyb.2018.2843358
[27] Zhao, D., Wang, Z., Wei, G. and Han, Q. (2020) A Dynamic Event-Triggered Approach to Observer-Based PID Security Control Subject to Deception Attacks. Automatica, 120, Article 109128.
https://doi.org/10.1016/j.automatica.2020.109128