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arXiv · 2504.14334

Koopman-Based Event-Triggered Control from Data

Zeyad M. Manaa·Ayman M. Abdallah·Mohamed Ismail·Samil El Ferik
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Abstract

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.

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Zeyad M. Manaa, Ayman M. Abdallah, Mohamed Ismail, Samil El Ferik. 2025-04-19. Koopman-Based Event-Triggered Control from Data. https://arxiv.org/abs/2504.14334

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