Shaping of molecular weight distribution using b-spline based predictive probability density function control

H. Yue, J.F. Zhang, H. Wang, L. Cao

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

14 Citations (Scopus)

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.
LanguageEnglish
Title of host publicationProceedings of the 2004 American Control Conference
Place of PublicationNew York
PublisherIEEE
Pages3587-3592
Number of pages6
Volume4
ISBN (Print)0780383354
Publication statusPublished - Jun 2004
EventAmerican Control Conference 2004 - Boston, United States
Duration: 30 Jun 20042 Jul 2004

Publication series

NameProceedings of the American Control Conference
PublisherIEEE
ISSN (Print)0743-1619

Conference

ConferenceAmerican Control Conference 2004
CountryUnited States
CityBoston
Period30/06/042/07/04

Fingerprint

Molecular weight distribution
Splines
Probability density function
Polymerization
Stochastic systems
Pilot plants
Styrene
Neural networks

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

Cite this

Yue, H., Zhang, J. F., Wang, H., & 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 (Vol. 4, pp. 3587-3592). (Proceedings of the American Control Conference). New York: IEEE.
Yue, H. ; Zhang, J.F. ; Wang, H. ; Cao, L. / Shaping of molecular weight distribution using b-spline based predictive probability density function control. Proceedings of the 2004 American Control Conference. Vol. 4 New York : IEEE, 2004. pp. 3587-3592 (Proceedings of the American Control Conference).
@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 = "6",
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",

}

Yue, H, Zhang, JF, Wang, H & 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. vol. 4, Proceedings of the American Control Conference, IEEE, New York, pp. 3587-3592, American Control Conference 2004 , Boston, United States, 30/06/04.

Shaping of molecular weight distribution using b-spline based predictive probability density function control. / Yue, H.; Zhang, J.F.; Wang, H.; Cao, L.

Proceedings of the 2004 American Control Conference. Vol. 4 New York : IEEE, 2004. p. 3587-3592 (Proceedings of the American Control Conference).

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

TY - GEN

T1 - Shaping of molecular weight distribution using b-spline based predictive probability density function control

AU - Yue, H.

AU - Zhang, J.F.

AU - Wang, H.

AU - Cao, L.

PY - 2004/6

Y1 - 2004/6

N2 - 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.

AB - 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.

KW - free-radical polymerization

KW - systems

KW - computation

KW - optimization

KW - emulsion polymerization

KW - batch polymerization reactor

KW - control system synthesis

KW - stochastic systems

KW - splines (mathematics)

KW - process control

KW - predictive control

KW - polymerisation

KW - neurocontrollers

KW - molecular weight

KW - function approximation

M3 - Conference contribution book

SN - 0780383354

VL - 4

T3 - Proceedings of the American Control Conference

SP - 3587

EP - 3592

BT - Proceedings of the 2004 American Control Conference

PB - IEEE

CY - New York

ER -

Yue H, Zhang JF, Wang H, Cao L. Shaping of molecular weight distribution using b-spline based predictive probability density function control. In Proceedings of the 2004 American Control Conference. Vol. 4. New York: IEEE. 2004. p. 3587-3592. (Proceedings of the American Control Conference).