Event-Triggered Finite-Time Stabilization of Delayed T–S Fuzzy Systems on Time Scales

Authors

• Kexin Liu, Huazhong University of Science and Technology
• Wei Tang, Huazhong University of Science and Technology
• Yin Sheng, Huazhong University of Science and Technology
• Zhigang Zeng, Huazhong University of Science and Technology
• Nikhil R. Pal, Indian Statistical Institute, Kolkata

Article Type

Research Article

Publication Title

IEEE Transactions on Cybernetics

Abstract

In this article, the event-triggered finite-time stabilization of time-scale delayed Takagi-Sugeno (T–S) fuzzy systems is studied. By comparing strategies, inequality techniques, and time scale theory, finite-time stabilization criteria for the systems are derived that do not require differentiability of the time delay, and the controller is designed in a simple form that does not rely on power functions or delayed state feedback controllers. Corresponding results cover both continuous-time and discrete-time cases, and construct a unified theoretical framework for the finite-time analysis of the time-scale delayed systems. Meanwhile, the proposed event-triggered mechanism can avoid Zeno behavior and reduce the consumption of communication resources. The validity of the theoretical results is verified by two simulation experiments.

First Page

3737

Last Page

3746

DOI

10.1109/TCYB.2025.3573795

Publication Date

1-1-2025

Recommended Citation

Liu, Kexin; Tang, Wei; Sheng, Yin; Zeng, Zhigang; and Pal, Nikhil R., "Event-Triggered Finite-Time Stabilization of Delayed T–S Fuzzy Systems on Time Scales" (2025). Journal Articles. 5349.
https://digitalcommons.isical.ac.in/journal-articles/5349