Event-triggered Control (ETC) presents a promising paradigm for efficient resource usage in networked and embedded control systems by reducing communication instances compared to traditional time-triggered strategies. This paper introduces a novel approach to ETC for discrete-time nonlinear systems using a data-driven framework. By leveraging Koopman operator theory, the nonlinear system dynamics are globally linearized (approximately in practical settings) in a higher-dimensional space. We design a state-feedback controller and an event-triggering policy directly from data, ensuring exponential stability in Lyapunov sense. The proposed method is validated through extensive simulation experiments, demonstrating significant resource savings.
@article{arxiv.2504.14334,
title = {Koopman-Based Event-Triggered Control from Data},
author = {Zeyad M. Manaa and Ayman M. Abdallah and Mohamed Ismail and Samil El Ferik},
journal= {arXiv preprint arXiv:2504.14334},
year = {2025}
}