发表状态 | 已发表Published |
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/eISSN | 0005-1098 |
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 |
DOI | 10.1016/j.automatica.2022.110555 |
URL | 查看来源 |
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). |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论