Observer-based event-Triggered cloud predictive control for heterogeneous MASs with DoS attacks and delays

Xiuxia Yin, Zhiwei Gao, Yichuan Fu

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

1 Citation (Scopus)

Abstract

This article concerns observer-based consensus compensation control for heterogeneous networked multi-Agent systems under both networked Denial of Service (DoS) attacks and transmission delays. We propose a control method that combines the observer-based adaptive event-Triggered control and the observer-based cloud predictive control, which can not only reduce the network transmission burden, but also can compensate for the negative effects caused by DoS attacks and transmission delays completely. The consensus conditions, the observer and controller gain matrices and the event-Triggering parameter matrices are all simultaneously derived by using the linear matrix inequality method.

Original languageEnglish
Title of host publicationProceedings - 2020 IEEE 18th International Conference on Industrial Informatics, INDIN 2020
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages657-662
Number of pages6
ISBN (Electronic)9781728149646
DOIs
Publication statusPublished - 20 Jul 2020
Event18th IEEE International Conference on Industrial Informatics, INDIN 2020 - Virtual, Warwick, United Kingdom
Duration: 21 Jul 202023 Jul 2020

Publication series

NameIEEE International Conference on Industrial Informatics (INDIN)
Volume2020-July
ISSN (Print)1935-4576

Conference

Conference18th IEEE International Conference on Industrial Informatics, INDIN 2020
Country/TerritoryUnited Kingdom
CityVirtual, Warwick
Period21/07/2023/07/20

Keywords

  • cloud predictive control
  • consensus
  • delay
  • DoS attacks
  • event-Triggered scheme
  • observer

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