Picture of athlete cycling

Open Access research with a real impact on health...

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 Strathclyde researchers, including by researchers from the Physical Activity for Health Group based within the School of Psychological Sciences & Health. Research here seeks to better understand how and why physical activity improves health, gain a better understanding of the amount, intensity, and type of physical activity needed for health benefits, and evaluate the effect of interventions to promote physical activity.

Explore open research content by Physical Activity for Health...

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

Full text not available in this repository. Request a copy from the Strathclyde author

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.