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Status已发表Published
TitleNeural network-based control for RRP-based networked systems under DoS attacks with power interval
Creator
Date Issued2022-11-01
Source PublicationAutomatica
ISSN0005-1098
Volume145
Abstract

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.

KeywordCritic–actor structure DoS attacks Neural network-based control Power interval Round-robin protocol
DOI10.1016/j.automatica.2022.110555
URLView source
Indexed BySCIE
Language英语English
WOS Research AreaAutomation & Control Systems ; Engineering
WOS SubjectAutomation & Control Systems ; Engineering, Electrical & Electronic
WOS IDWOS:000863176200008
Scopus ID2-s2.0-85137616147
Citation statistics
Cited Times:11[WOS]   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/10151
CollectionFaculty of Science and Technology
Corresponding AuthorSun, Jitao
Affiliation
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
Recommended Citation
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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