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Method and device for conducting a process in a controlled system with at least one precomputed process parameter.

  • US 5,600,758 A
  • Filed: 11/10/1994
  • Issued: 02/04/1997
  • Est. Priority Date: 11/11/1993
  • Status: Expired due to Term
First Claim
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1. A method for controlling a process with a computing means having a mathematical model of the process and with a neural network having variable network parameters, the method comprising steps of:

  • a) supplying input values to the mathematical model;

    b) precomputing at least one selected process parameter with the mathematical model at the beginning of a process run, based on the input values supplied to the mathematical model;

    c) presetting the at least one process parameter;

    d) measuring the input values and the at least one process parameter during the process; and

    e) adaptively improving the at least one process parameter after the process based on the measured at least one process parameter and based on the measured input values, the step of adaptively improving including sub-steps of;

    I) supplying at least part of the measured input values to the mathematical model;

    ii) supplying at least part of the measured input values to the neural network;

    iii) forming a computed at least one process parameter with the mathematical model;

    iv) forming a network response with the neural network;

    v) linking the computed at least one process parameter with the network response to form a linked result;

    vi) comparing the linked result with the measured process parameter to form a deviation; and

    vii) adaptively modifying the variable network parameters of the neural network such that the deviation is reduced, the variable network parameters being adaptively modified to train the neural network on-line.

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