Determination of LQR weights by Bayesian optimization method using multiple earthquake waves

Kou Miyamoto; Nobuaki Yasuo; Yinli Chen; Daiki Sato; Jinhua She

doi:10.1109/IECON43393.2020.9254573

Determination of LQR weights by Bayesian optimization method using multiple earthquake waves

Kou Miyamoto, Nobuaki Yasuo, Yinli Chen, Daiki Sato, Jinhua She

Department of Architecture

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

Abstract

An active structural-control strategy has been widely studied to improve the control performance. Most studies used the linear quadratic-regulator (LQR) method to design the state-feedback controller. The LQR method requires to tune many weights in the cost function to design the controller. Moreover, various earthquake waves have to be considered. Thus, it is difficult to determine the weights. This paper determines the weights by using the Bayesian optimization method with multiple earthquake waves to reduces the burden of tuning the weights.

Original language	English
Title of host publication	Proceedings - IECON 2020
Subtitle of host publication	46th Annual Conference of the IEEE Industrial Electronics Society
Publisher	IEEE Computer Society
Pages	2651-2655
Number of pages	5
ISBN (Electronic)	9781728154145
DOIs	https://doi.org/10.1109/IECON43393.2020.9254573
Publication status	Published - 18 Oct 2020
Event	46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020 - Virtual, Singapore, Singapore Duration: 19 Oct 2020 → 21 Oct 2020

Publication series

Name	IECON Proceedings (Industrial Electronics Conference)
Volume	2020-October

Conference

Conference	46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020
Country/Territory	Singapore
City	Virtual, Singapore
Period	19/10/20 → 21/10/20

Keywords

Active structural control
Bayesian optimization method
LQR
parameter tuning

Access to Document

10.1109/IECON43393.2020.9254573

Cite this

Miyamoto, K., Yasuo, N., Chen, Y., Sato, D., & She, J. (2020). Determination of LQR weights by Bayesian optimization method using multiple earthquake waves. In Proceedings - IECON 2020: 46th Annual Conference of the IEEE Industrial Electronics Society (pp. 2651-2655). Article 9254573 (IECON Proceedings (Industrial Electronics Conference); Vol. 2020-October). IEEE Computer Society. https://doi.org/10.1109/IECON43393.2020.9254573

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title = "Determination of LQR weights by Bayesian optimization method using multiple earthquake waves",

abstract = "An active structural-control strategy has been widely studied to improve the control performance. Most studies used the linear quadratic-regulator (LQR) method to design the state-feedback controller. The LQR method requires to tune many weights in the cost function to design the controller. Moreover, various earthquake waves have to be considered. Thus, it is difficult to determine the weights. This paper determines the weights by using the Bayesian optimization method with multiple earthquake waves to reduces the burden of tuning the weights.",

keywords = "Active structural control, Bayesian optimization method, LQR, parameter tuning",

author = "Kou Miyamoto and Nobuaki Yasuo and Yinli Chen and Daiki Sato and Jinhua She",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020 ; Conference date: 19-10-2020 Through 21-10-2020",

year = "2020",

month = oct,

day = "18",

doi = "10.1109/IECON43393.2020.9254573",

language = "English",

series = "IECON Proceedings (Industrial Electronics Conference)",

publisher = "IEEE Computer Society",

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Miyamoto, K, Yasuo, N, Chen, Y, Sato, D & She, J 2020, Determination of LQR weights by Bayesian optimization method using multiple earthquake waves. in Proceedings - IECON 2020: 46th Annual Conference of the IEEE Industrial Electronics Society., 9254573, IECON Proceedings (Industrial Electronics Conference), vol. 2020-October, IEEE Computer Society, pp. 2651-2655, 46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020, Virtual, Singapore, Singapore, 19/10/20. https://doi.org/10.1109/IECON43393.2020.9254573

Determination of LQR weights by Bayesian optimization method using multiple earthquake waves. / Miyamoto, Kou; Yasuo, Nobuaki; Chen, Yinli et al.
Proceedings - IECON 2020: 46th Annual Conference of the IEEE Industrial Electronics Society. IEEE Computer Society, 2020. p. 2651-2655 9254573 (IECON Proceedings (Industrial Electronics Conference); Vol. 2020-October).

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

TY - GEN

T1 - Determination of LQR weights by Bayesian optimization method using multiple earthquake waves

AU - Miyamoto, Kou

AU - Yasuo, Nobuaki

AU - Chen, Yinli

AU - Sato, Daiki

AU - She, Jinhua

PY - 2020/10/18

Y1 - 2020/10/18

N2 - An active structural-control strategy has been widely studied to improve the control performance. Most studies used the linear quadratic-regulator (LQR) method to design the state-feedback controller. The LQR method requires to tune many weights in the cost function to design the controller. Moreover, various earthquake waves have to be considered. Thus, it is difficult to determine the weights. This paper determines the weights by using the Bayesian optimization method with multiple earthquake waves to reduces the burden of tuning the weights.

AB - An active structural-control strategy has been widely studied to improve the control performance. Most studies used the linear quadratic-regulator (LQR) method to design the state-feedback controller. The LQR method requires to tune many weights in the cost function to design the controller. Moreover, various earthquake waves have to be considered. Thus, it is difficult to determine the weights. This paper determines the weights by using the Bayesian optimization method with multiple earthquake waves to reduces the burden of tuning the weights.

KW - Active structural control

KW - Bayesian optimization method

KW - LQR

KW - parameter tuning

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DO - 10.1109/IECON43393.2020.9254573

M3 - Conference contribution

AN - SCOPUS:85097802818

T3 - IECON Proceedings (Industrial Electronics Conference)

SP - 2651

EP - 2655

BT - Proceedings - IECON 2020

PB - IEEE Computer Society

T2 - 46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020

Y2 - 19 October 2020 through 21 October 2020

ER -

Miyamoto K, Yasuo N, Chen Y, Sato D, She J. Determination of LQR weights by Bayesian optimization method using multiple earthquake waves. In Proceedings - IECON 2020: 46th Annual Conference of the IEEE Industrial Electronics Society. IEEE Computer Society. 2020. p. 2651-2655. 9254573. (IECON Proceedings (Industrial Electronics Conference)). doi: 10.1109/IECON43393.2020.9254573

Determination of LQR weights by Bayesian optimization method using multiple earthquake waves

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