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From data-driven DMDc modeling to control parameter optimization: a framework for adaptive vibration control of thin-walled composites

delete2026-05-09
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PRE
AI
Q
Qinshan Ouyang
L
Longlei Dong *
J
Jian Liu
J
Jiaming Zhou *
DOI：10.1016/j.tws.2026.115090delete
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Abstract

Abstract

En 中文
• A data-driven sd-DMDc-FxLMS framework is proposed for adaptive vibration control. • A displacement-strain hybrid measurement vector is adopted to incorporate strain feedback. • Systematic parametric studies validate prediction of effective convergence regions. • Provides a robust simulation tool for optimizing adaptive control parameters.
Keywords:
data-driven DMDc
adaptive vibration control
strain feedback
parameter optimization
thin-walled composites

Journal

T
Thin-Walled Structures
IF:
6.6
Papers:
1.1W
Citations:
4.0W

Organization

X
xi'an jiaotong university
Scholars:
8.9W
Papers: 6.5W
Citations: 75
N
ningxia university
Scholars:
1.5K
Papers: 481
Citations: 0
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