Robust output regulation for continuous‐time linear time‐invariant systems with dynamic controllers: A data‐driven approach

Abstract This paper investigates the robust output regulation problem of continuous‐time systems using the data‐driven approach. Compared with the most existing literature, which focuses on discrete‐time linear time‐invariant (LTI) systems, this paper considers the unknown continuous‐time endosystems and exosystems. Some necessary and sufficient conditions are proposed to ensure that the data can solve the robust output regulation problem under the persistency of excitation condition. When the persistency of excitation condition is not satisfied, new conditions within the data informativity framework are provided. Moreover, a data‐driven dynamic controller is designed. Finally, the effectiveness of the method is verified through some numerical simulations.

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Publication Details

Journal
Asian Journal of Control
Published
2025-04-29
DOI
https://doi.org/10.1002/asjc.3696
Primary Topic
Control Systems and Identification
Type
article
Field-Weighted Citation Impact
0.00

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Controls
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Robust output regulation for continuous‐time linear time‐invariant systems with dynamic controllers: A data‐driven approach

Tao Xu, Ren Peng, Yuqing Hao, Qingyun Wang et al.
Asian Journal of Control
Control Systems and Identification
article

Robust output regulation for continuous‐time linear time‐invariant systems with dynamic controllers: A data‐driven approach

Tao Xu, Ren Peng, Yuqing Hao, Qingyun Wang, Zhiyong Sun
article en

Abstract

Abstract This paper investigates the robust output regulation problem of continuous‐time systems using the data‐driven approach. Compared with the most existing literature, which focuses on discrete‐time linear time‐invariant (LTI) systems, this paper considers the unknown continuous‐time endosystems and exosystems. Some necessary and sufficient conditions are proposed to ensure that the data can solve the robust output regulation problem under the persistency of excitation condition. When the persistency of excitation condition is not satisfied, new conditions within the data informativity framework are provided. Moreover, a data‐driven dynamic controller is designed. Finally, the effectiveness of the method is verified through some numerical simulations.

Asian Journal of ControlVol. 28(2)
Beijing Institute of Technology (CN), Peking University (CN), Beihang University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 90%
Control Systems and Identification
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