Method for improving process control by reducing lag time of sensors using artificial neural networks

摘要

An artificial neural network is used to predict the current state of a process based upon sensor measurements of the process variables at previous times. The output of the neural network provides the process control system with the predicted process state, thereby reducing the time lag of the sensors and providing improved control of the process.