System Identification Using Dynamic Neural Networks And Its Application to Plasticating Extruders

摘要

This paper proposed a Dynamical Neural Network (DNN)model and gave the conditions under which DNN has the unique equilibrium point. The syntheses method of DNN for solving quadratic optimization is also given. The resultant approach is applied to the identification of the plasticating extruder system. The results show that the estimated model is in concordance with actual system. So the approach proposed is effective.