Fan, Yu-Long, Zhang, Chuan-Ke, Shangguan, Xing-Chen, Jin, Li, Jiang, Lin 
ORCID: 0000-0001-6531-2791 and He, Yong
(2026)
Data-Driven Stabilization of Aperiodic Sampled-Data Systems Subject to Input Saturation
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 73 (2).
pp. 3328-3338.
ISSN 0278-0046, 1557-9948
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Text
Lin25-TIE-2721 - final.pdf - Author Accepted Manuscript Available under License Creative Commons Attribution. Download (1MB) | Preview |
Abstract
This article focuses on stabilization design for aperiodic sampled-data unknown systems subject to saturation from a data-driven perspective without explicit system model parameters. A data-driven representation of the unknown saturated system is established by using the collected input-state measurements affected by noisy perturbations. Based on such a data-based representation, combined with the loop-functional method, the generalized sector condition, and the S-procedure, a data-driven control design method in the form of linear matrix inequalities is derived to ensure local stability for all systems consistent with the measured data. Meanwhile, this data-based design condition allows for maximizing the estimation of the region of attraction and maximizing the admissible sampling interval through convex optimization. Finally, the effectiveness of the developed data-driven control design schemes is verified by a benchmark numerical example and a load frequency control system under the hardware-in-the-loop experimental platform.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Symmetric matrices, Sampled data systems, Noise measurement, Estimation, Control design, Stability criteria, Computational modeling, Fans, Design methodology, Data systems, Aperiodic sampling, data-driven control, input saturation, looped-functional method |
| Divisions: | Faculty of Science & Engineering Faculty of Science & Engineering > School of Engineering Faculty of Science & Engineering > School of Engineering > Electrical Engineering and Electronics |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 03 Mar 2026 17:27 |
| Last Modified: | 16 Jun 2026 17:01 |
| DOI: | 10.1109/TIE.2025.3613660 |
| Related Websites: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3197344 |
| Disclaimer: | The University of Liverpool is not responsible for content contained on other websites from links within repository metadata. Please contact us if you notice anything that appears incorrect or inappropriate. |
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