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Method for steady-state identification based upon identified dynamics

  • US 6,047,221 A
  • Filed: 10/03/1997
  • Issued: 04/04/2000
  • Est. Priority Date: 10/03/1997
  • Status: Expired due to Term
First Claim
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1. A method for training a steady-state non-linear model of a plant, comprising the steps of:

  • generating an input set of historical training data representative of the historical operation of the plant and having input data u(t) and output data y(t);

    identifying a linear dynamic model of the plant representing the dynamics of the plant for a given output variable of the plant;

    pre-filtering the historical input data through the dynamic model to impress the dynamics of the plant as defined by the linear dynamic model on the input data u(t); and

    training a non-linear model of the plant with the pre-filtered input data u(t) to provide a stored representation of the steady-state operation in the non-linear model associated with the given output variable.

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