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.
| Item type: | Book Section |
|---|---|
| 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: | 06 Jul 2012 16:44 |
| URI: | http://strathprints.strath.ac.uk/id/eprint/40362 |
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