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16.06.2024

Data-Driven Control for Linear Discrete-Time Systems with Input Saturation

verfasst von: Xiaoyun Lu, Dongpeng Zhou, Wu-Hua Chen, Xiaomei Lu

Erschienen in: Circuits, Systems, and Signal Processing | Ausgabe 10/2024

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Abstract

In this paper, a class of linear discrete-time systems with input saturation is studied in a data-driven framework. Firstly, the input-state data are collected to represent the open-loop and closed-loop systems. While the open-loop data-based representation is a result that is parallel to system identification, the closed-loop representation bypasses the system identification and can be used for direct data-driven control law synthesis. Then, by a novel Lyapunov technique, sufficient conditions for system stability are derived, such conditions are independent of system matrices. Moreover, the attraction domain is estimated using two classes of shape reference sets. Finally, two examples are used to test the correctness of the data-driven control laws.

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Metadaten
Titel
Data-Driven Control for Linear Discrete-Time Systems with Input Saturation
verfasst von
Xiaoyun Lu
Dongpeng Zhou
Wu-Hua Chen
Xiaomei Lu
Publikationsdatum
16.06.2024
Verlag
Springer US
Erschienen in
Circuits, Systems, and Signal Processing / Ausgabe 10/2024
Print ISSN: 0278-081X
Elektronische ISSN: 1531-5878
DOI
https://doi.org/10.1007/s00034-024-02751-w