@inproceedings{e7144e86d72d4daf80241e71dfcb09cd,

title = "Shaping of molecular weight distribution using b-spline based predictive probability density function control",

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.",

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",

author = "H. Yue and J.F. Zhang and H. Wang and L. Cao",

year = "2004",

month = jun,

language = "English",

isbn = "0780383354 ",

volume = "4",

series = "Proceedings of the American Control Conference",

publisher = "IEEE",

pages = "3587--3592",

booktitle = "Proceedings of the 2004 American Control Conference",

note = "American Control Conference 2004 ; Conference date: 30-06-2004 Through 02-07-2004",

}