Event-Based Two-Step Transmission Mechanism for the Stabilization of Networked T-S Fuzzy Systems with Random Uncertainties

Zhou Gu, Yujian Fan, Xiang Sun, Xiangpeng Xie, Choon Ki Ahn

Research output: Contribution to journalArticlepeer-review


This article studies an event-based two-step transmission mechanism (TSTM) in the control design for networked T-S fuzzy systems. The transmission task is achieved in two steps. Consecutive triggering packets are relabeled in the first step by applying a traditional event-triggered mechanism (ETM). Then a probabilistic approach is employed to determine which packet is a real release packet (RRP) in the second step. This event-based TSTM is particularly suitable for scenarios in which traditional ETMs are unable to determine which packets are redundant. By discarding most of the unnecessary data packets, especially when the system is tending toward stability, the burden on the network bandwidth is reduced. To establish a control strategy for T-S fuzzy-based nonlinear systems with random uncertainties, a new timing analysis technique is proposed. Additionally, the necessary conditions for a nonlinear system's mean-square asymptotic stability (MSAS) are derived. Finally, two practical applications demonstrate the effectiveness of the suggested transmission mechanism in networked T-S fuzzy systems.

Original languageEnglish
Pages (from-to)1283-1293
Number of pages11
JournalIEEE Transactions on Cybernetics
Issue number2
Publication statusPublished - 2024 Feb 1

Bibliographical note

Publisher Copyright:
© 2013 IEEE.


  • Event-triggered mechanism (ETM)
  • networked T-S fuzzy systems
  • two-step transmission mechanism (TSTM)

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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