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

Author

Zhang, Jinfang ; Yue, Hong

Author_Institution

Inst. of Autom., Chinese Acad. of Sci., Beijing, China

fYear

2004

fDate

2-4 Sept. 2004

Firstpage

143

Lastpage

148

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.

Keywords

chemical variables control; identification; least squares approximations; molecular weight; polymerisation; probability; B-spline modelling; improved identification algorithm; least square calculation; molecular weight distribution control; output probability density functions; scanning identification; styrene polymerization process; Control system synthesis; Equations; Joining processes; Least squares approximation; Mathematical model; Neural networks; Parameter estimation; Probability density function; Shape; Spline;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control, 2004. Proceedings of the 2004 IEEE International Symposium on

ISSN

2158-9860

Print_ISBN

0-7803-8635-3

Type

conf

DOI

10.1109/ISIC.2004.1387673

Filename

1387673