Data-driven event-triggered control for discrete-time piecewise-affine systems with input saturation

This paper investigates the data-driven event-triggered control design for discrete-time piecewise-affine (PWA) systems subject to actuator saturation. Distinct from conventional methods that rely on explicit mathematical models, the proposed scheme synthesises event-triggered feedback control gains directly from finite input-state data. This approach effectively bypasses the requirement for accurate system identification. Specifically, regional asymptotic stability conditions are derived via generalised sector modelling of actuator saturation and formulated as a linear matrix inequality (LMI) problem using a matrix-constrained relaxation to address epistemic uncertainties due to limited data. Furthermore, an optimisation approach using ellipsoidal approximations is proposed to maximise the estimated domain of attraction. The effectiveness of the developed scheme is verified through simulation examples.

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Publication Details

Journal
International Journal of Control
Published
2026-11-07
DOI
https://doi.org/10.1080/00207179.2026.2759056
Primary Topic
Stability and Control of Uncertain Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Data-driven event-triggered control for discrete-time piecewise-affine systems with input saturation

Xuyang Lou, Wenju Hu, Yulin Wu
International Journal of Control
Stability and Control of Uncertain Systems
article

Data-driven event-triggered control for discrete-time piecewise-affine systems with input saturation

Xuyang Lou, Wenju Hu, Yulin Wu
article en

Abstract

This paper investigates the data-driven event-triggered control design for discrete-time piecewise-affine (PWA) systems subject to actuator saturation. Distinct from conventional methods that rely on explicit mathematical models, the proposed scheme synthesises event-triggered feedback control gains directly from finite input-state data. This approach effectively bypasses the requirement for accurate system identification. Specifically, regional asymptotic stability conditions are derived via generalised sector modelling of actuator saturation and formulated as a linear matrix inequality (LMI) problem using a matrix-constrained relaxation to address epistemic uncertainties due to limited data. Furthermore, an optimisation approach using ellipsoidal approximations is proposed to maximise the estimated domain of attraction. The effectiveness of the developed scheme is verified through simulation examples.

International Journal of Control
Jiangnan University (CN)
Openalex Percentile: Top 22%
Stability and Control of Uncertain Systems
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