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题名Neural network-based control for RRP-based networked systems under DoS attacks with power interval
作者
发表日期2022-11-01
发表期刊Automatica
ISSN/eISSN0005-1098
卷号145
摘要

This paper is concerned with the optimal control problem for networked systems with the round-robin protocol (RRP) under the denial-of-service (DoS) attacker with power interval. In the literature, the control design is studied for the linear networked system subject to the DoS attacks with a known constant power or a known constant probability of data-packet dropouts. In this paper, the objective is to control the unknown nonlinear system in the communication network subject to the DoS attacks with a power interval and a time-varying probability of data-packet dropouts. The effects of the DoS attacks with power interval on a networked system under RRP are modeled accurately. A neural network (NN) -based observer is designed for the nonlinear system under the DoS attacks with power interval, and the relationship between the DoS attacker power interval and state estimation error is obtained. The NN actor–critic policy for the optimal control of the RRP-based networked system under the DoS attacks with power interval is found with adaptive dynamical programming, and stability of the resulting control system is analyzed. The proposed control method is demonstrated by a networked uninterruptible power supply system.

关键词Critic–actor structure DoS attacks Neural network-based control Power interval Round-robin protocol
DOI10.1016/j.automatica.2022.110555
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收录类别SCIE
语种英语English
WOS研究方向Automation & Control Systems ; Engineering
WOS类目Automation & Control Systems ; Engineering, Electrical & Electronic
WOS记录号WOS:000863176200008
Scopus入藏号2-s2.0-85137616147
引用统计
文献类型期刊论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/10151
专题理工科技学院
通讯作者Sun, Jitao
作者单位
1.School of Mathematical Sciences,Tongji University,Shanghai,200092,China
2.Institute of Artificial Intelligence and Future Networks,Beijing Normal University at Zhuhai,Zhuhai,519087,China
3.Guangdong Key Lab of AI and Multi-Modal Data Processing,BNU-HKBU United International College,Zhuhai,519087,China
4.Institute for Intelligent Systems,Faculty of Engineering and the Built Environment,University of Johannesburg,Johannesburg,South Africa
推荐引用方式
GB/T 7714
Zhang, Junhui,Wang, Qingguo,Marwala, Tshilidziet al. Neural network-based control for RRP-based networked systems under DoS attacks with power interval[J]. Automatica, 2022, 145.
APA Zhang, Junhui, Wang, Qingguo, Marwala, Tshilidzi, & Sun, Jitao. (2022). Neural network-based control for RRP-based networked systems under DoS attacks with power interval. Automatica, 145.
MLA Zhang, Junhui,et al."Neural network-based control for RRP-based networked systems under DoS attacks with power interval". Automatica 145(2022).
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