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Updated: May 24, 2025

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
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Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

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代上限重权重规范最小化与全球收保证低等级矩阵学习

Zhi Wang, Dong Hu, Zhuo Liu

    IEEE transactions on pattern analysis and machine intelligence
    |March 3, 2025
    PubMed
    概括

    这项研究引入了上限重权规范最小化 (CRNM),这是一种用于低等级矩阵学习 (LRML) 的新型非凸规调节器. 通过考虑等级组件差异和自适应地切断单数值,CRNM改进了现有的方法,从而在矩阵完成等任务中获得了更好的性能.

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