Data-Driven Control for Nonlinear Networked Control Systems under Deception Attacks

Zhichuang Wang, Wei He*, Gang Wang, Jian Sun

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

This paper addresses the data-driven control problem for nonlinear networked control systems (NCSs), where fading channels are subject to deception attacks. An improved dynamic linearization technique is firstly established to transform nonlinear NCSs with deception attacks and fading measurements into an equivalent data model. Meanwhile, to alleviate the effect of deception attacks and fading measurements on nonlinear NCSs, an attack compensation mechanism is presented. Moreover, the convergence of the system is analyzed, and the corresponding explicit conditions are derived. In addition, we investigate the effect of deception attacks on the performance of nonlinear NCSs. The proposed results are pure data-driven control methods, and do not need any modeling processes. Finally, the effectiveness of our method are verified by an simulation example.

Original languageEnglish
Title of host publicationProceedings - 2022 37th Youth Academic Annual Conference of Chinese Association of Automation, YAC 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages327-330
Number of pages4
ISBN (Electronic)9781665465366
DOIs
Publication statusPublished - 2022
Event37th Youth Academic Annual Conference of Chinese Association of Automation, YAC 2022 - Beijing, China
Duration: 19 Nov 202220 Nov 2022

Publication series

NameProceedings - 2022 37th Youth Academic Annual Conference of Chinese Association of Automation, YAC 2022

Conference

Conference37th Youth Academic Annual Conference of Chinese Association of Automation, YAC 2022
Country/TerritoryChina
CityBeijing
Period19/11/2220/11/22

Keywords

  • data-driven control
  • deception attacks
  • networked control systems
  • nonlinear systems

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