Method and procedure for neural control of dynamic processes
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United States of America Patent
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Dec 29, 1992
Grant Date -
N/A
app pub date -
Aug 15, 1990
filing date -
Aug 15, 1990
priority date (Note) -
Expired
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Abstract
A neural network control based on a general multi-variable nonlinear dynamic model incorporating time delays is disclosed. The inverse dynamics of the process being controlled is learned represented by a multi-layer neural network which is used as a feedforward control to achieve a specified closed loop response under varying conditions. The weights between the layers in the neural network are adjusted during the learning process. The learning process is based on minimizing the combined error between the desired process value and the actual process output and the error between the desired process value and the inverse process neural network output.
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