Neural network control of processes with recycle

Recycles in processing systems can add significant difficulty for feedback control by increasing complexity, nonlinearity and larger time delays. This study explores the use of neural networks to handle the control problems of recycles. The most critical design issue was the decision to include an auxiliary variable: the equilibrium value of the controlled variable, and the training set used.