Shaping of molecular weight distribution using b-spline based predictive probability density function control

Yue, H. and Zhang, J.F. and Wang, H. and Cao, L. (2004) Shaping of molecular weight distribution using b-spline based predictive probability density function control. In: American Control Conference 2004, 2004-06-30 - 2004-07-02, Boston.

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Abstract

Issues of modelling and control of molecular weight distributions (MWDs) of polymerization products have been studied under the recently developed framework of stochastic distribution control, where the purpose is to design the required control inputs that can effectively shape the output probability density functions (PDFs) of the dynamic stochastic systems. The B-spline Neural Network has been implemented to approximate the function of MWDs provided by the mechanism model, based on which a new predictive PDF control strategy has been developed. A simulation study of MWD control of a pilot-plant styrene polymerization process has been given to demonstrate the effectiveness of the algorithms.

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Item metadata

Item type:	Conference or Workshop Item(Paper)
ID code:	38169
Dates:	Date Event June 2004 Published
Keywords:	free-radical polymerization, systems, computation, optimization, emulsion polymerization, batch polymerization reactor, Electrical engineering. Electronics Nuclear engineering
Subjects:	Technology > Electrical engineering. Electronics Nuclear engineering
Department:	Faculty of Engineering > Electronic and Electrical Engineering
Depositing user:	Pure Administrator
Date deposited:	05 Mar 2012 16:35
Last modified:	18 Sep 2018 19:10
URI:	https://strathprints.strath.ac.uk/id/eprint/38169

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