Data-driven predictive control for networked control systems

Yuanqing Xia; Wen Xie; Bo Liu; Xiaoyun Wang

doi:10.1016/j.ins.2012.01.047

Data-driven predictive control for networked control systems

Yuanqing Xia^*, Wen Xie, Bo Liu, Xiaoyun Wang

^*此作品的通讯作者

自动化学院

Beijing Institute of Technology

科研成果: 期刊稿件 › 文章 › 同行评审

100 引用（Scopus）

摘要

This paper is concerned with the problem of data-driven predictive control for networked control systems (NCSs), which is designed by applying the subspace matrices technique, obtained directly from the input/output data transferred from networks. The networked predictive control consists of the control prediction generator and network delay compensator. The control prediction generator provides a set of future control predictions to make the closed-loop system achieve the desired control performance and the network delay compensator eliminates the effects of the network transmission delay. The effectiveness and superiority of the proposed method is demonstrated in simulation as well as experiment study.

源语言	英语
页（从-至）	45-54
页数	10
期刊	Information Sciences
卷	235
DOI	https://doi.org/10.1016/j.ins.2012.01.047
出版状态	已出版 - 20 6月 2013

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Xia, Y., Xie, W., Liu, B., & Wang, X. (2013). Data-driven predictive control for networked control systems. Information Sciences, 235, 45-54. https://doi.org/10.1016/j.ins.2012.01.047

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abstract = "This paper is concerned with the problem of data-driven predictive control for networked control systems (NCSs), which is designed by applying the subspace matrices technique, obtained directly from the input/output data transferred from networks. The networked predictive control consists of the control prediction generator and network delay compensator. The control prediction generator provides a set of future control predictions to make the closed-loop system achieve the desired control performance and the network delay compensator eliminates the effects of the network transmission delay. The effectiveness and superiority of the proposed method is demonstrated in simulation as well as experiment study.",

keywords = "Data-driven predictive control, Networked control system, Random network delay",

author = "Yuanqing Xia and Wen Xie and Bo Liu and Xiaoyun Wang",

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AU - Xia, Yuanqing

AU - Xie, Wen

AU - Liu, Bo

AU - Wang, Xiaoyun

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N2 - This paper is concerned with the problem of data-driven predictive control for networked control systems (NCSs), which is designed by applying the subspace matrices technique, obtained directly from the input/output data transferred from networks. The networked predictive control consists of the control prediction generator and network delay compensator. The control prediction generator provides a set of future control predictions to make the closed-loop system achieve the desired control performance and the network delay compensator eliminates the effects of the network transmission delay. The effectiveness and superiority of the proposed method is demonstrated in simulation as well as experiment study.

AB - This paper is concerned with the problem of data-driven predictive control for networked control systems (NCSs), which is designed by applying the subspace matrices technique, obtained directly from the input/output data transferred from networks. The networked predictive control consists of the control prediction generator and network delay compensator. The control prediction generator provides a set of future control predictions to make the closed-loop system achieve the desired control performance and the network delay compensator eliminates the effects of the network transmission delay. The effectiveness and superiority of the proposed method is demonstrated in simulation as well as experiment study.

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Data-driven predictive control for networked control systems

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