### Abstract

Language | English |
---|---|

Title of host publication | Proceedings of the 2004 American Control Conference |

Place of Publication | New York |

Publisher | IEEE |

Pages | 3587-3592 |

Number of pages | 6 |

Volume | 4 |

ISBN (Print) | 0780383354 |

Publication status | Published - Jun 2004 |

Event | American Control Conference 2004 - Boston, United States Duration: 30 Jun 2004 → 2 Jul 2004 |

### Publication series

Name | Proceedings of the American Control Conference |
---|---|

Publisher | IEEE |

ISSN (Print) | 0743-1619 |

### Conference

Conference | American Control Conference 2004 |
---|---|

Country | United States |

City | Boston |

Period | 30/06/04 → 2/07/04 |

### Fingerprint

### 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

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

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*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.

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 -