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.
01384468.pdf - Published Version
Download (388kB) | Preview
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:||Conference or Workshop Item (Paper)|
|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:||27 Apr 2016 21:30|