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- W4383215717 abstract "This paper presents a data-based vibration control algorithm that can realize the vibration suppression of a laboratory suspension facility without knowing its drift dynamics. The vibration controller consists of two sub-controllers, a prestable controller that assists in generating higher quality operational data and a data-driven H∞ vibration controller that realizes vibration suppression. The proposed control algorithm only needs to know partial knowledge of the system dynamics without any information about the so-called pseudo-drift dynamics. We analyse and evaluate the control approach through simulation and experimentation based on a laboratory suspension platform. The comparison results shows that the data-based H∞ vibration control is quite promising. In addition, the influences of two critical parameters on the data-based controller are quantitatively studied, which can be used to optimize the control structure better and improve control performance." @default.
- W4383215717 created "2023-07-06" @default.
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- W4383215717 date "2023-10-01" @default.
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- W4383215717 title "Data-driven <mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML display=inline id=d1e3389 altimg=si414.svg><mml:msub><mml:mrow><mml:mi>H</mml:mi></mml:mrow><mml:mrow><mml:mi>∞</mml:mi></mml:mrow></mml:msub></mml:math> vibration control design and verification for an active suspension system with unknown pseudo-drift dynamics" @default.
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- W4383215717 doi "https://doi.org/10.1016/j.cnsns.2023.107397" @default.
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