Improved identification algorithm for b-spline modelling of output probability density functions

J.H. Zhang, H. Yue

Research output: Contribution to conferenceProceeding

8 Citations (Scopus)

Abstract

An improved modelling technique has been developed for the B-spline approximation of the output probability density functions (PDFs). By reformulating the B-spline links between the weights vector and the output PDFs, the new algorithm decomposes the previous scanning identification into two separate operations, therefore reduces the dimension of the least square calculation and improves its efficiency. A PDF control strategy is then adopted to ensure that the output PDF will follow a desired PDF. Simulation studies have been performed for the molecular weight distribution (MWD) control of a styrene polymerization process.

Original languageEnglish
Pages143-148
Number of pages5
DOIs
Publication statusPublished - Sep 2004
Event2004 IEEE International Symposium on Intelligent Control - Taipei, Taiwan, Province of China
Duration: 2 Sep 20044 Sep 2004

Conference

Conference2004 IEEE International Symposium on Intelligent Control
CountryTaiwan, Province of China
CityTaipei
Period2/09/044/09/04

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Keywords

  • improved identification
  • algorithm
  • b-spline
  • modelling
  • output
  • probability density functions

Cite this

Zhang, J. H., & Yue, H. (2004). Improved identification algorithm for b-spline modelling of output probability density functions. 143-148. 2004 IEEE International Symposium on Intelligent Control, Taipei, Taiwan, Province of China. https://doi.org/10.1109/ISIC.2004.1387673