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The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including by researchers from the Department of Computer & Information Sciences involved in mathematically structured programming, similarity and metric search, computer security, software systems, combinatronics and digital health.

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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. In: Proceedings of the 2004 American Control Conference. Proceedings of the American Control Conference, 4 . IEEE, New York, pp. 3587-3592. ISBN 0780383354

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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.