Event-Triggered Tracking Control of Nonlinear Systems under Sparse Attacks and its Application to Rigid Aircraft

Guangdeng Chen, Yang Liu, Deyin Yao, Hongyi Li, Choon Ki Ahn

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


This study is aimed at addressing the event-based state estimation and tracking control problems for a class of nonlinear systems, the output of which is measured by multiple sensors, but the adversary can manipulate nearly half of the measurements simultaneously. First, a sampled-data-based event-triggered strategy is developed to reduce unnecessary data transmissions under sparse sensor attacks, and the transmitted data are filtered by a data selector to obtain reliable data. Subsequently, an output-prediction-based continuous-discrete observer is improved so that it can estimate continuous-time system states from the event-triggered output, rather than being limited to time-triggered sampled output. Further, to design a tracking controller with the segmentally differentiable estimated states, a backstepping method incorporating tracking differentiators is proposed. Finally, the effectiveness of the proposed method is demonstrated by applying it in the simulation of a rigid aircraft.

Original languageEnglish
Pages (from-to)4640-4650
Number of pages11
JournalIEEE Transactions on Aerospace and Electronic Systems
Issue number4
Publication statusPublished - 2023 Aug 1

Bibliographical note

Publisher Copyright:
© 1965-2011 IEEE.


  • Event-triggered mechanism
  • nonlinear systems
  • sparse attacks
  • state estimation
  • tracking control

ASJC Scopus subject areas

  • Aerospace Engineering
  • Electrical and Electronic Engineering


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