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Updated: Jun 19, 2025

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
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An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

Published on: March 10, 2011

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适应性神经控制用于歇斯底里非线性系统与歇斯底里神经直接反向补偿器及其应用

Xiuyu Zhang, Zhengyan Hu, Yue Wang

    IEEE transactions on cybernetics
    |July 23, 2024
    PubMed
    概括

    一个新的自适应控制方案使用长期短期记忆神经网络 (LSTMNN) 来精确地管理具有歇斯底里性的非线性系统. 这种方法可以提高诸如介电弹性体执行器 (DEA) 等设备的控制精度.

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    Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques09:01

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