Data-Driven Control Based on Function Approximation with Binomial Coefficients

Guoliang Zhu; Lei Chen; Kexin Liu; Jinhu Lu

doi:10.1109/CCDC52312.2021.9602405

Data-Driven Control Based on Function Approximation with Binomial Coefficients

Guoliang Zhu, Lei Chen, Kexin Liu, Jinhu Lu

前沿交叉科学研究院

Beihang University

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

This paper investigates data-driven control methods based on function approximation with binomial coefficients and sampling techniques. We propose two approximate models and corresponding controllers formed from sampled data. It shows that the information truncated in the first approximate model is saved in the latter with parameter estimation method. Simulation results validate the effectiveness of proposed approaches.

源语言	英语
主期刊名	Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021
出版商	Institute of Electrical and Electronics Engineers Inc.
页	6179-6184
页数	6
ISBN（电子版）	9781665440899
DOI	https://doi.org/10.1109/CCDC52312.2021.9602405
出版状态	已出版 - 2021
活动	33rd Chinese Control and Decision Conference, CCDC 2021 - Kunming, 中国期限: 22 5月 2021 → 24 5月 2021

出版系列

姓名	Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021

会议

会议	33rd Chinese Control and Decision Conference, CCDC 2021
国家/地区	中国
市	Kunming
时期	22/05/21 → 24/05/21

访问文件

10.1109/CCDC52312.2021.9602405

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引用此

Zhu, G., Chen, L., Liu, K., & Lu, J. (2021). Data-Driven Control Based on Function Approximation with Binomial Coefficients. 在 Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021 (页码 6179-6184). (Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCDC52312.2021.9602405

@inproceedings{19272083dbb64b83803f1ed30a5dfdd4,

title = "Data-Driven Control Based on Function Approximation with Binomial Coefficients",

abstract = "This paper investigates data-driven control methods based on function approximation with binomial coefficients and sampling techniques. We propose two approximate models and corresponding controllers formed from sampled data. It shows that the information truncated in the first approximate model is saved in the latter with parameter estimation method. Simulation results validate the effectiveness of proposed approaches.",

keywords = "Adaptive control, Approximate theory, Binomial coefficients, Function approximation, Sampled-data driven systems",

author = "Guoliang Zhu and Lei Chen and Kexin Liu and Jinhu Lu",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 33rd Chinese Control and Decision Conference, CCDC 2021 ; Conference date: 22-05-2021 Through 24-05-2021",

year = "2021",

doi = "10.1109/CCDC52312.2021.9602405",

language = "English",

series = "Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "6179--6184",

booktitle = "Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021",

address = "United States",

}

Zhu, G, Chen, L, Liu, K & Lu, J 2021, Data-Driven Control Based on Function Approximation with Binomial Coefficients. 在 Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021. Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021, Institute of Electrical and Electronics Engineers Inc., 页码 6179-6184, 33rd Chinese Control and Decision Conference, CCDC 2021, Kunming, 中国, 22/05/21. https://doi.org/10.1109/CCDC52312.2021.9602405

Data-Driven Control Based on Function Approximation with Binomial Coefficients. / Zhu, Guoliang; Chen, Lei; Liu, Kexin 等.
Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021. Institute of Electrical and Electronics Engineers Inc., 2021. 页码 6179-6184 (Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Data-Driven Control Based on Function Approximation with Binomial Coefficients

AU - Zhu, Guoliang

AU - Chen, Lei

AU - Liu, Kexin

AU - Lu, Jinhu

PY - 2021

Y1 - 2021

N2 - This paper investigates data-driven control methods based on function approximation with binomial coefficients and sampling techniques. We propose two approximate models and corresponding controllers formed from sampled data. It shows that the information truncated in the first approximate model is saved in the latter with parameter estimation method. Simulation results validate the effectiveness of proposed approaches.

AB - This paper investigates data-driven control methods based on function approximation with binomial coefficients and sampling techniques. We propose two approximate models and corresponding controllers formed from sampled data. It shows that the information truncated in the first approximate model is saved in the latter with parameter estimation method. Simulation results validate the effectiveness of proposed approaches.

KW - Adaptive control

KW - Approximate theory

KW - Binomial coefficients

KW - Function approximation

KW - Sampled-data driven systems

UR - http://www.scopus.com/inward/record.url?scp=85125169945&partnerID=8YFLogxK

U2 - 10.1109/CCDC52312.2021.9602405

DO - 10.1109/CCDC52312.2021.9602405

M3 - Conference contribution

AN - SCOPUS:85125169945

T3 - Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021

SP - 6179

EP - 6184

BT - Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 33rd Chinese Control and Decision Conference, CCDC 2021

Y2 - 22 May 2021 through 24 May 2021

ER -

Zhu G, Chen L, Liu K, Lu J. Data-Driven Control Based on Function Approximation with Binomial Coefficients. 在 Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021. Institute of Electrical and Electronics Engineers Inc. 2021. 页码 6179-6184. (Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021). doi: 10.1109/CCDC52312.2021.9602405

Data-Driven Control Based on Function Approximation with Binomial Coefficients

摘要

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