Patent ID: 6029157
Filing Date: 2000-02-22
Classification: B01J,G05D,Y10S

Abstract:
A method for determining state parameters of a chemical reactor with a plurality of neural networks having n inputs and m outputs comprising the steps of:bringing the chemical reactor out of a stationary state;measuring quantities from the chemical reactor in a phase wherein the chemical reactor oscillates back into the stationary state;determining from the measured quantities a sequence of measured quantities (z.sub.k (t.sub.j); k=1 . . . m) for the chemical reactor where t.sub.j (j=1 . . . s) is a point in time at which the sequence of measured quantities (z.sub.k (t.sub.j)) was determined;generating a plurality of individual curves in normal coordinates (.xi..sub.i ; l=1 . . . n) with individual ones of a plurality data generators based on a predetermined normal form that describes a critical state of the chemical reactor;allocating the plurality of neural networks (NNb) respectively in one-to-one correspondence to the data generators and applying the curves in normal coordinates to the neural networks;wherein each neural network is adapted to the sequence of measured quantities (z.sub.k (t.sub.j)) with a parameter optimization method; anddetermining and processing a parameter which represents the state parameters of the chemical reactor based an the neural network which is selected in light of the parameter optimization.