Koopman-Based Event-Triggered Control from Data
Fuente:
arXiv
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866912337379721216 |
|---|---|
| author | Manaa, Zeyad M. Abdallah, Ayman M. Ismail, Mohamed Ferik, Samil El |
| author_facet | Manaa, Zeyad M. Abdallah, Ayman M. Ismail, Mohamed Ferik, Samil El |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_14334 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Koopman-Based Event-Triggered Control from Data Manaa, Zeyad M. Abdallah, Ayman M. Ismail, Mohamed Ferik, Samil El Systems and Control 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. |
| title | Koopman-Based Event-Triggered Control from Data |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2504.14334 |