@article{Yu2026, 
author = {Yiyao Yu and Yifan Wang and Dongyu Li and Ruihang Ji and Shuzhi Sam Ge},
title = {Adaptive event-triggered coding and decoding scheme based on fuzzy logic},
year = {2026},
journal = {Journal of Automation and Intelligence},
volume = {5},
number = {1},
pages = {2-12},
keywords = {Fuzzy logic, Event-triggered control, Adaptive control, Self-adjustable prescribed performance, Nonlinear system},
url = {https://www.sciopen.com/article/10.1016/j.jai.2025.08.001},
doi = {10.1016/j.jai.2025.08.001},
abstract = {In this paper, we propose a fuzzy logic-based coded event-triggered control with self-adjustable prescribed performance (FL-CEC-SPP) to address the trade-off between control performance and communication efficiency in resource-constrained networked control systems. The method integrates a fuzzy-coded event-triggered controller into a coded control framework to dynamically adjust the triggering threshold, thereby reducing unnecessary transmissions while maintaining system stability. A self-adjustable prescribed performance constraint is also incorporated to ensure that the tracking error remains within predefined bounds under arbitrary initial conditions. Theoretical analyses and simulation comparisons show that the method proposed in this paper maintains good tracking performance and stability while reducing the communication burden, and has wide applications in resource-constrained network control systems.}
}