Stability of stochastic T-S fuzzy systems via dynamic event-triggered control
Year: 2025
Type: conference-paper
Abstract: This paper aims to examine the practical input-to-state stability (p-ISS) of stochastic T-S fuzzy systems (T-SFS) with parameter uncertainty by employing dynamic event-triggered control (DETC). In order to reduce the frequency of triggering events and the number of messages transmitted, we propose a DETC scheme, which introduces the waiting time to avoid Zeno behaviour and further saves communication resources. Additionally, within the DETC approach, LMI-based criteria are formulated to guarantee p-ISS for nonlinear stochastic T-SFS.
Authors: Yali Zhang, Linna Liu, Chenglong Pan, Shuaibo Zhou
Institution: Zhongyuan University of Technology
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4407641887