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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. [Proceedings Paper]

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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.

Item type: Proceedings Paper
ID code: 40362
Keywords: free-radical polymerization, systems, computation, optimization, emulsion polymerization, batch polymerization reactor, control system synthesis, stochastic systems , splines (mathematics) , process control , predictive control , polymerisation, neurocontrollers , molecular weight , function approximation, Electrical engineering. Electronics Nuclear engineering
Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
Department: Faculty of Engineering > Electronic and Electrical Engineering
Related URLs:
    Depositing user: Pure Administrator
    Date Deposited: 06 Jul 2012 16:44
    Last modified: 17 Jul 2013 14:09
    URI: http://strathprints.strath.ac.uk/id/eprint/40362

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