Memory-event-triggered H∞ filtering of unmanned surface vehicles with communication delays

Shen Yan, Zhou Gu, Choon Ki Ahn

Research output: Contribution to journalArticlepeer-review


This brief studies the design of a memory-event-triggered H∞ filter for unmanned surface vehicles (USVs) with communication delays. To save precious communication resources, a memory-event-triggered scheme (METS) is constructed by utilizing the mean of historical outputs. A novel united framework of the filtering error system under the METS and communication delays is established as a distributed delay system. By using the Bessel-Legendre (BL) inequality to handle the distributed delay, sufficient conditions are derived for designing H∞ filters for USVs under METS. Finally, an illustrative example is simulated to show the advantage of the presented strategy.

Original languageEnglish
JournalIEEE Transactions on Circuits and Systems II: Express Briefs
Publication statusAccepted/In press - 2021


  • Artificial intelligence
  • Bandwidth
  • Circuits and systems
  • Delays
  • distributed delay.
  • Gain measurement
  • H∞ filtering
  • Memory-event-triggered scheme
  • Noise measurement
  • System dynamics
  • unmanned surface vehicles

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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