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Model Reference Adaptive Resilient Control of Uncertain Linear Systems with Intermittent DoS Attacks

  • Zhen Han
  • , Wei Wang
  • , Mengze Yu
  • , Huijin Fan

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

Abstract

This paper investigates the model reference adaptive control problem for a class of linear networked control systems with unknown parameters and intermittent denial-of-service (DoS) attacks. An output feedback based adaptive resilient controller is designed by adopting the projection technique. A sufficient condition, regarding the frequency and duration constraints for DoS attacks, is provided such that the global uniform boundedness of all the closed-loop signals can be guaranteed despite the occurrence of DoS attacks. Moreover, the error performance is analysed. Simulation results are given to demonstrate the theoretical finding.

Original languageEnglish
Title of host publicationProceedings - IECON 2020
Subtitle of host publication46th Annual Conference of the IEEE Industrial Electronics Society
PublisherIEEE Computer Society
Pages3549-3555
Number of pages7
ISBN (Electronic)9781728154145
DOIs
StatePublished - 18 Oct 2020
Event46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020 - Virtual, Singapore, Singapore
Duration: 19 Oct 202021 Oct 2020

Publication series

NameIECON Proceedings (Industrial Electronics Conference)
Volume2020-October

Conference

Conference46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020
Country/TerritorySingapore
CityVirtual, Singapore
Period19/10/2021/10/20

Keywords

  • Denial-of-Service Attack
  • Model Reference Adaptive Control
  • Networked Control System

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