ISNN 2007: Advances in Neural Networks – ISNN 2007 pp 329-338 | Cite as
Steady-State Modeling and Control of Molecular Weight Distributions in a Styrene Polymerization Process Based on B-Spline Neural Networks
Conference paper
Abstract
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.
Keywords
Probability Density Function Control Input Molecular Weight Distribution Styrene Polymerization Single Input Single Output
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