Parameter identification and vibration suppression for three-dimensional Euler-Bernoulli beam

Mengru Wang; Yiwen Liu; Guidong Wang; Jinkun Liu

doi:10.1109/CCDC62350.2024.10588044

Parameter identification and vibration suppression for three-dimensional Euler-Bernoulli beam

Mengru Wang
, Yiwen Liu
, Guidong Wang
, Jinkun Liu^*

^*Corresponding author for this work

School of Automation Science and Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this paper, the vibration suppression of three-dimensional Euler-Bernoulli beam based on parameter identification is studied. The appropriate control scheme is designed in the presence of unknown parameters and unknown disturbances. In this paper, a parameter identification method based on support vector machine (SVM) is proposed to identify the unknown parameters, and a self-evolving fuzzy neural network (SEFNN) is proposed to approximate the unknown disturbances. The boundary controller is designed based on the results of identification and approximation. Finally, the stability of the closed-loop system is analyzed by Lyapunov method, and the effectiveness of the parameter identification method and control scheme is verified by numerical simulation.

Original language	English
Title of host publication	Proceedings of the 36th Chinese Control and Decision Conference, CCDC 2024
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1383-1390
Number of pages	8
ISBN (Electronic)	9798350387780
DOIs	https://doi.org/10.1109/CCDC62350.2024.10588044
State	Published - 2024
Event	36th Chinese Control and Decision Conference, CCDC 2024 - Xi'an, China Duration: 25 May 2024 → 27 May 2024

Publication series

Name	Proceedings of the 36th Chinese Control and Decision Conference, CCDC 2024

Conference

Conference	36th Chinese Control and Decision Conference, CCDC 2024
Country/Territory	China
City	Xi'an
Period	25/05/24 → 27/05/24

Keywords

boundary control
parameter identification
three-dimensional Euler-Bernoulli beam
vibration suppression

Access to Document

10.1109/CCDC62350.2024.10588044

Cite this

Wang, M., Liu, Y., Wang, G., & Liu, J. (2024). Parameter identification and vibration suppression for three-dimensional Euler-Bernoulli beam. In Proceedings of the 36th Chinese Control and Decision Conference, CCDC 2024 (pp. 1383-1390). (Proceedings of the 36th Chinese Control and Decision Conference, CCDC 2024). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCDC62350.2024.10588044

Wang, Mengru ; Liu, Yiwen ; Wang, Guidong et al. / Parameter identification and vibration suppression for three-dimensional Euler-Bernoulli beam. Proceedings of the 36th Chinese Control and Decision Conference, CCDC 2024. Institute of Electrical and Electronics Engineers Inc., 2024. pp. 1383-1390 (Proceedings of the 36th Chinese Control and Decision Conference, CCDC 2024).

@inproceedings{b665f826a65e444388ee2e99a390cfb5,

title = "Parameter identification and vibration suppression for three-dimensional Euler-Bernoulli beam",

abstract = "In this paper, the vibration suppression of three-dimensional Euler-Bernoulli beam based on parameter identification is studied. The appropriate control scheme is designed in the presence of unknown parameters and unknown disturbances. In this paper, a parameter identification method based on support vector machine (SVM) is proposed to identify the unknown parameters, and a self-evolving fuzzy neural network (SEFNN) is proposed to approximate the unknown disturbances. The boundary controller is designed based on the results of identification and approximation. Finally, the stability of the closed-loop system is analyzed by Lyapunov method, and the effectiveness of the parameter identification method and control scheme is verified by numerical simulation.",

keywords = "boundary control, parameter identification, three-dimensional Euler-Bernoulli beam, vibration suppression",

author = "Mengru Wang and Yiwen Liu and Guidong Wang and Jinkun Liu",

note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 36th Chinese Control and Decision Conference, CCDC 2024 ; Conference date: 25-05-2024 Through 27-05-2024",

year = "2024",

doi = "10.1109/CCDC62350.2024.10588044",

language = "英语",

series = "Proceedings of the 36th Chinese Control and Decision Conference, CCDC 2024",

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

pages = "1383--1390",

booktitle = "Proceedings of the 36th Chinese Control and Decision Conference, CCDC 2024",

address = "美国",

}

Wang, M, Liu, Y, Wang, G & Liu, J 2024, Parameter identification and vibration suppression for three-dimensional Euler-Bernoulli beam. in Proceedings of the 36th Chinese Control and Decision Conference, CCDC 2024. Proceedings of the 36th Chinese Control and Decision Conference, CCDC 2024, Institute of Electrical and Electronics Engineers Inc., pp. 1383-1390, 36th Chinese Control and Decision Conference, CCDC 2024, Xi'an, China, 25/05/24. https://doi.org/10.1109/CCDC62350.2024.10588044

Parameter identification and vibration suppression for three-dimensional Euler-Bernoulli beam. / Wang, Mengru; Liu, Yiwen; Wang, Guidong et al.
Proceedings of the 36th Chinese Control and Decision Conference, CCDC 2024. Institute of Electrical and Electronics Engineers Inc., 2024. p. 1383-1390 (Proceedings of the 36th Chinese Control and Decision Conference, CCDC 2024).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Parameter identification and vibration suppression for three-dimensional Euler-Bernoulli beam

AU - Wang, Mengru

AU - Liu, Yiwen

AU - Wang, Guidong

AU - Liu, Jinkun

PY - 2024

Y1 - 2024

N2 - In this paper, the vibration suppression of three-dimensional Euler-Bernoulli beam based on parameter identification is studied. The appropriate control scheme is designed in the presence of unknown parameters and unknown disturbances. In this paper, a parameter identification method based on support vector machine (SVM) is proposed to identify the unknown parameters, and a self-evolving fuzzy neural network (SEFNN) is proposed to approximate the unknown disturbances. The boundary controller is designed based on the results of identification and approximation. Finally, the stability of the closed-loop system is analyzed by Lyapunov method, and the effectiveness of the parameter identification method and control scheme is verified by numerical simulation.

AB - In this paper, the vibration suppression of three-dimensional Euler-Bernoulli beam based on parameter identification is studied. The appropriate control scheme is designed in the presence of unknown parameters and unknown disturbances. In this paper, a parameter identification method based on support vector machine (SVM) is proposed to identify the unknown parameters, and a self-evolving fuzzy neural network (SEFNN) is proposed to approximate the unknown disturbances. The boundary controller is designed based on the results of identification and approximation. Finally, the stability of the closed-loop system is analyzed by Lyapunov method, and the effectiveness of the parameter identification method and control scheme is verified by numerical simulation.

KW - boundary control

KW - parameter identification

KW - three-dimensional Euler-Bernoulli beam

KW - vibration suppression

UR - https://www.scopus.com/pages/publications/85200407309

U2 - 10.1109/CCDC62350.2024.10588044

DO - 10.1109/CCDC62350.2024.10588044

M3 - 会议稿件

AN - SCOPUS:85200407309

T3 - Proceedings of the 36th Chinese Control and Decision Conference, CCDC 2024

SP - 1383

EP - 1390

BT - Proceedings of the 36th Chinese Control and Decision Conference, CCDC 2024

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 36th Chinese Control and Decision Conference, CCDC 2024

Y2 - 25 May 2024 through 27 May 2024

ER -

Wang M, Liu Y, Wang G, Liu J. Parameter identification and vibration suppression for three-dimensional Euler-Bernoulli beam. In Proceedings of the 36th Chinese Control and Decision Conference, CCDC 2024. Institute of Electrical and Electronics Engineers Inc. 2024. p. 1383-1390. (Proceedings of the 36th Chinese Control and Decision Conference, CCDC 2024). doi: 10.1109/CCDC62350.2024.10588044

Parameter identification and vibration suppression for three-dimensional Euler-Bernoulli beam

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this