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Machine learning device for learning filter according to machine command, motor driving device, motor driving system and machine learning method provided with machine learning device

机译:用于根据机器指令学习过滤器的机器学习装置,电动机驱动装置,电动机驱动系统以及具备该机器学习装置的机器学习方法

摘要

A machine learning apparatus, which learns a condition associated with a filter unit for filtering an analog input signal, includes a state observer for observing a state variable that includes at least one of a noise component and noise amount of an output signal from the filter unit and a responsivity to the input signal; and a learner for learning the condition associated with the filter unit in accordance with a training data set that includes the state variable.
机译:机器学习设备,其学习与用于对模拟输入信号进行滤波的滤波器单元相关联的条件,包括用于观察状态变量的状态观察器,该状态变量包括来自滤波器单元的输出信号的噪声分量和噪声量中的至少一个对输入信号的响应度;学习器,用于根据包括状态变量的训练数据集学习与过滤器单元相关的条件。

著录项

  • 公开/公告号JP6259428B2

    专利类型

  • 公开/公告日2018-01-10

    原文格式PDF

  • 申请/专利权人 ファナック株式会社;

    申请/专利号JP20150152682

  • 发明设计人 土田 邦夫;

    申请日2015-07-31

  • 分类号H02P31;H02P23/14;G05B23/02;

  • 国家 JP

  • 入库时间 2022-08-21 13:06:31

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