Event-Triggered H∞ Filtering for T-S Fuzzy-Model-Based Nonlinear Networked Systems With Multisensors Against DoS Attacks

Zhou Gu, Choon Ki Ahn, Dong Yue, Xiangpeng Xie

Research output: Contribution to journalArticlepeer-review

21 Citations (Scopus)


This article focuses on the problem of resilient H∞ filtering for Takagi-Sugeno fuzzy-model-based nonlinear networked systems with multisensors. A weighted fusion approach is adopted before information from multisensors is transmitted over the network. A novel event-triggered mechanism is proposed, which allows us not only to reduce the data-releasing rate but also to prevent abnormal data being potentially transmitted over the network due to sensor measurement or other practical factors. The problem of denial-of-service (DoS) attacks, which often occurs in a communication network, is also considered, where the DoS attack model is based on an assumption that the periodic attack includes active periods and sleeping periods. By employing the idea of the switching model for filtering error systems to deal with DoS attacks, sufficient conditions are derived to guarantee that the filtering error system is exponentially stable. Simulation results are given to demonstrate the effectiveness of the theoretical analysis and design method.

Original languageEnglish
JournalIEEE Transactions on Cybernetics
Publication statusAccepted/In press - 2020


  • Communication networks
  • Control design
  • Cybernetics
  • Denial-of-service (DoS) attacks
  • Denial-of-service attack
  • Filtering
  • Nonlinear systems
  • Reliability
  • event-triggered mechanism (ETM)
  • fuzzy filter design
  • multisensor fusion

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Information Systems
  • Human-Computer Interaction
  • Computer Science Applications
  • Electrical and Electronic Engineering


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