All Title Author
Keywords Abstract

Publish in OALib Journal
ISSN: 2333-9721
APC: Only $99


Relative Articles


Mixed H and Passive Fault Detection for Networked Control Systems Based on Dynamic Event-Triggered Mechanism under Deception Attacks

DOI: 10.12677/dsc.2024.132008, PP. 81-90

Keywords: 网络控制系统,动态事件触发机制,欺骗性攻击,故障检测,混合H和无源性
Networked Control Systems
, Dynamic Event-Triggered Mechanism, Deception Attacks, Fault Detection, Mixed H and Passive Performance

Full-Text   Cite this paper   Add to My Lib


This paper investigates the problem of fault detection in nonlinear networked control systems subject to deception attacks based on dynamic event-triggered mechanism. A random variable obeying the Bernoulli distribution is used to describe the deception attack. In order to save network resources, a dynamic event-triggered mechanism is designed, the corresponding Lyapunov function is constructed and sufficient conditions are obtained for the filtering error system to be mean-square asymptotically stable and to satisfy the mixed H and passive property. The design parameters of the fault detection filter are given in the form of linear matrix inequalities. Finally, the effectiveness of the proposed method is illustrated by comparing the dynamic event-triggered scheme with the static event-triggered scheme through a numerical arithmetic example.


[1]  Qiu, J., Gao, H. and Ding, S. (2015) Recent Advances on Fuzzy-Model-Based Nonlinear Networked Control Systems: A Survey. IEEE Transactions on Industrial Electronics, 63, 1207-1217.
[2]  Shaukat, N., Khan, B., Ali, S., et al. (2018) A Survey on Electric Vehicle Transportation within Smart Grid System. Renewable and Sustainable Energy Reviews, 81, 1329-1349.
[3]  Lee, T. and Jiang, Z. (2008) Uniform Asymptotic Stability of Nonlinear Switched Systems with an Application to Mobile Robots. IEEE Transactions on Automatic Control, 53, 1235-1252.
[4]  Shen, M., Nguang, S., Ahn, C. and Wang, Q. (2019) Robust H2 Control of Linear Systems with Mismatched Quantization. IEEE Transactions on Automatic Control, 64, 1702-1709.
[5]  Zhou, J. and Zhang, D. (2019) H-Infinity Fault Detection for Delta Operator Systems with Random Two-Channels Packet Losses and Limited Communication. IEEE Access, 7, 94448-94459.
[6]  李天瑞. 基于事件触发的网络切换系统稳定性分析与H控制[D]: [博士学位论文]. 南京: 南京理工大学, 2022.
[7]  Li, F., Shi, P., Wang, X. and Agarwal, R. (2015) Fault Detection for Networked Control Systems with Quantization and Markovian Packet Dropouts. Signal Processing, 111, 106-112.
[8]  Feng, Y., An, W., Wen, J., et al. (2017) Mixed H and Passive Fault Detection for Networked Control Systems with Randomly Occurring Missing Data. Proceedings of the 36th Chinese Control Conference, Dalian, 26-28 July 2017, 7477-7481.
[9]  Wu, Z., Xiong, J. and Xie, M. (2021) Improved Event-Triggered Control for Networked Control Systems Subject to Deception Attacks. Journal of the Franklin Institute, 358, 2229-2252.
[10]  Liu, J., Xia, J., Tian, E. and Fei, S. (2018) Hybrid-Driven-Based H Filter Design for Neural Networks Subject to Deception Attacks. Applied Mathematics and Computation, 320, 158-174.
[11]  Wu, J., Peng, C., Zhang, J. and Zhang, B. (2020) Event-Triggered Finite-Time H Filtering for Networked Systems under Deception Attacks. Journal of the Franklin Institute, 357, 3792-3808.
[12]  Ding, D., Wang, Z., Wei, G. and Alsaadi, F. (2016) Event-Based Security Control for Discrete-Time Stochastic Systems. IET Control Theory and Applications, 10, 1808-1815.
[13]  Liu, J., Tian, E., Xie, X. and Lin, H. (2019) Distributed Event-Triggered Control for Networked Control Systems with Stochastic Cyber-Attacks. Journal of the Franklin Institute, 356, 10260-10276.
[14]  Wu, Z., Li, B., Chen, W. and Hu, J. (2023) Event-Triggered Finite-Time Fault Detection for Delayed Networked Systems with Conic-Type Nonlinearity and Deception Attacks. Journal of the Franklin Institute, 360, 1768-1791.
[15]  Zhu, Q., Jiang, S. and Pan, F. (2022) Adaptive Event-Triggered Fault Detection for Nonlinear Networked Systems in Finite Frequency Domain under Stochastic Cyber Attacks. International Journal of Adaptive Control and Signal Processing, 36, 1537-1561.
[16]  Wang, Y., Lim, C. and Shi, P. (2016) Adaptively Adjusted Event-Triggering Mechanism on Fault Detection for Networked Control Systems. IEEE Transactions on Cybernetics, 47, 2299-2311.
[17]  Bolzern, P., Colaneri, P. and De Nicolao, G. (2010) Markov Jump Linear Systems with Switching Transition Rates: Mean Square Stability with Dwell-Time. Automatica, 46, 1081-1088.
[18]  Zhang, B., Zheng, W. and Xu, S. (2013) Filtering of Markovian Jump Delay Systems Based on a New Performance Index. IEEE Transactions on Circuits and Systems, I. Regular Papers, 60, 1250-1263.
[19]  郑大钟. 线性系统理论[M]. 第2版. 北京: 清华大学出版社, 2002: 60-170.
[20]  俞立. 鲁棒控制-线性矩阵不等式处理方法[M]. 北京: 清华大学出版社, 2002: 23-220.


comments powered by Disqus

Contact Us


WhatsApp +8615387084133

WeChat 1538708413