Method and device for conducting a process in a controlled syste

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364148, 364157, G06E 100, G06E 300

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active

056007582

ABSTRACT:
Known methods for conducting a process in an automatically controlled system preset the system at the beginning of each process run based on at least one process parameter. The process parameter is precomputed with a model of the process which is supplied with input values. During the process the input values and the process parameter are measured and are used to adaptively improve the precomputed process parameter after the process run. The present invention simplifies and improves the precomputed value of the process parameter by supplying at least part of the input values to a neural network. The network response of the neural network forms a correction value for the approximate value delivered by the model for the process parameter to be precomputed. The network parameters of the neural network are modified after each process run to adapt the precomputed value to the actual process events.

REFERENCES:
Silvestrini, et al., "Autoadaptive process control of a Sendzimir mill at ILVA," Iron and Steel Engineer, pp. 50-55 (Aug. 1993).
Sun, et al., "A Hybrid Neural Network Model for Solving Optimization Problems," IEEE Transactions on Computers, vol. 42, No. 2, pp. 218-227 (Feb. 1993).

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