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ADAPTIVE CONTROL SYSTEM USING NEURAL NETWORK

机译:基于神经网络的自适应控制系统

摘要

PURPOSE:To execute the adaptive control of a control object in which a non- linear part is unknown by composing a controller and an identifying device through the use of a neural network to approximately realize an arbitrary successive function. CONSTITUTION:Since the neural network can approximately realize the arbitrary successive function, neural networks 2a and 3a are provided to a controller 2 and an identifying device 3, and they are used for identifying a non-linear function. The neural networks 2a and 3a are operated with the internal signal of an input/output memory 5, and the weights of the neural networks 2a and 3a are operated and set from an error by means of a learning device 4. Thus, the adaptive control system can be obtained which can execute the identification and control even when the function form of the non-linear part is unknown to a control object 1 of the non-linear system.
机译:目的:通过使用神经网络组成控制器和识别装置,以近似实现任意连续功能,对非线性部分未知的控制对象执行自适应控制。组成:由于神经网络可以近似实现任意连续函数,因此将神经网络2a和3a提供给控制器2和识别设备3,它们用于识别非线性函数。神经网络2a和3a利用输入/输出存储器5的内部信号进行操作,并且神经网络2a和3a的权重通过学习装置4进行操作并根据错误进行设置。因此,自适应控制即使非线性部分的功能形式对于非线性系统的控制对象1是未知的,也可以获得能够执行识别和控制的系统。

著录项

  • 公开/公告号JPH02201607A

    专利类型

  • 公开/公告日1990-08-09

    原文格式PDF

  • 申请/专利权人 FUJITSU LTD;

    申请/专利号JP19890021457

  • 申请日1989-01-31

  • 分类号G06F15/18;G05B13/02;G06N3/00;G06N99/00;

  • 国家 JP

  • 入库时间 2022-08-22 06:23:57

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