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System and method for adaptive control of uncertain nonlinear processes

机译:不确定非线性过程的自适应控制系统和方法

摘要

A computer system for controlling a nonlinear physical process. The computer system comprises a linear controller and a neural network. The linear controller receives a command signal for control of the nonlinear physical process and a measured output signal from the output of the nonlinear physical process. The linear controller generates a control signal based on the command signal, a measured output signal, and a fixed linear model for the process. The neural network receives the control signal from the linear controller and the measured output signal from the output of the nonlinear physical process. The neural network uses the measured output signal to modify the connection weights of the neural network. The neural network also generates a modified control signal supplied to the linear controller to iterate a fixed point solution for the modified control signal used to control the nonlinear physical process.
机译:用于控制非线性物理过程的计算机系统。该计算机系统包括线性控制器和神经网络。线性控制器接收用于控制非线性物理过程的命令信号和来自非线性物理过程的输出的测量的输出信号。线性控制器根据命令信号,测量的输出信号和过程的固定线性模型生成控制信号。神经网络从线性控制器接收控制信号,并从非线性物理过程的输出接收测量的输出信号。神经网络使用测得的输出信号来修改神经网络的连接权重。神经网络还生成提供给线性控制器的修改后的控制信号,以迭代用于控制非线性物理过程的修改后的控制信号的定点解。

著录项

  • 公开/公告号US7177710B2

    专利类型

  • 公开/公告日2007-02-13

    原文格式PDF

  • 申请/专利权人 ANTHONY J. CALISE;BYOUNG-SOO KIM;

    申请/专利号US20050147671

  • 发明设计人 BYOUNG-SOO KIM;ANTHONY J. CALISE;

    申请日2005-06-07

  • 分类号G05B13/02;G01C23/00;G05D3/00;G05D1/00;G06F7/00;G06F17/00;G06F19/00;

  • 国家 US

  • 入库时间 2022-08-21 21:00:49

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