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  • 标题:Fuzzy Weighted Memory Event-Triggered Control for Networked Control Systems Subject to Deception Attacks
  • 本地全文:下载
  • 作者:Mohamed Rouamel ; Fayçal Bourahala ; Kevin Guelton
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2022
  • 卷号:55
  • 期号:15
  • 页码:45-50
  • DOI:10.1016/j.ifacol.2022.07.606
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper considers the event-triggered control problem for a class of Networked Control Systems (NCS) subject to transmission delays and stochastic deception attacks. A new fuzzy weighted memory event-triggered mechanism is proposed to reduce the network bandwidth consumption and data transmission rates. In this context, a new fuzzy weighted memory state feedback controller is proposed to stabilize the closed-loop NCS. Considering the security problem of NCS, a randomly occurring deception attack model is employed, assuming bounded malicious signals injected by the attacker. Based on a suitable Lyapunov-Krasovskii functional, a design methodology is proposed, in terms of linear matrix inequalities, to synthesize both trigger parameters and NCS controller gains. Finally, a numerical example is considered to illustrated the effectiveness of proposed results, compared to previous ones from the literature.
  • 关键词:KeywordsNetworked control systemsEvent-triggered Controller designDeception Attacks
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