Steady-State Modeling and Control of Molecular Weight Distributions in a Styrene Polymerization Process Based on B-Spline Neural Networks

摘要

The B-spline neural networks are used to model probability density function (PDF) with least square algorithm, the controllers are designed accordingly. Both the modeling and control methods are tested with molecular weight distribution (MWD) through simulation.