Steady-state modelling and control of molecular weight distributions in a styrene polymerization process based on b-spline neural networks

J.F. Zhang, H. Yue

Research output: Chapter in Book/Report/Conference proceedingChapter

12 Citations (Scopus)

Abstract

The B-spline neural networks are used to model probability density function (PDF) with least square algorithm, the controllers are designed accordingly. Both the modeling and control methods are tested with molecular weight distribution (MWD) through simulation.
Original languageEnglish
Title of host publicationInternational Symposium on Neural Networks
Subtitle of host publicationAdvances in Neural Networks - ISNN 2007
PublisherSpringer
Pages333-342
Number of pages10
Volume4491
ISBN (Print)978-3-540-72382-0
DOIs
Publication statusPublished - 2007

Publication series

NameLecture Notes in Computer Science
PublisherSpringer

    Fingerprint

Keywords

  • neural networks
  • steady-state modelling
  • molecular weight distributions
  • b-spline neural networks

Cite this

Zhang, J. F., & Yue, H. (2007). Steady-state modelling and control of molecular weight distributions in a styrene polymerization process based on b-spline neural networks. In International Symposium on Neural Networks: Advances in Neural Networks - ISNN 2007 (Vol. 4491, pp. 333-342). (Lecture Notes in Computer Science). Springer. https://doi.org/10.1007/978-3-540-72383-7_39