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Circuits, Systems, and Signal Processing
Published in:

16-06-2024

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

Authors: Xiaoyun Lu, Dongpeng Zhou, Wu-Hua Chen, Xiaomei Lu

Published in: Circuits, Systems, and Signal Processing | Issue 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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Metadata
Title
Data-Driven Control for Linear Discrete-Time Systems with Input Saturation
Authors
Xiaoyun Lu
Dongpeng Zhou
Wu-Hua Chen
Xiaomei Lu
Publication date
16-06-2024
Publisher
Springer US
Published in
Circuits, Systems, and Signal Processing / Issue 10/2024
Print ISSN: 0278-081X
Electronic ISSN: 1531-5878
DOI
https://doi.org/10.1007/s00034-024-02751-w

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