Probability density function predictive control based on the rational square-root B-spline model

Author

Zhang, Jinfang ; Wang, Wei ; Zhang, Jianhua ; Hou, Guolian

Author_Institution

Dept. of Autom., North China Electr. Power Univ., Beijing, China

fYear

2009

fDate

17-19 June 2009

Firstpage

4669

Lastpage

4672

Abstract

A predictive control algorithm for probability density function (PDF) is presented based on the rational square-root B-spline based PDF model. The rational square-root PDF model is studied first, based on the analysis of the relationship between the pseudo weight and the actual weight, the rational square-root B-spline model can be easily set up; then the predictive model is deduced; a performance index is chosen next to design the predictive controller; and simulation study is performed for the molecular weight distribution (MWD) control of a styrene polymerization process to test the validity of the predictive control algorithm.

Keywords

distributed control; performance index; predictive control; probability; splines (mathematics); molecular weight distribution control; performance index; probability density function predictive control; rational square-root B-spline model; styrene polymerization process; Algorithm design and analysis; Analytical models; Performance analysis; Performance evaluation; Prediction algorithms; Predictive control; Predictive models; Probability density function; Spline; Weight control; molecular weight distribution(MWD); predictive control; probability density function (PDF); pseudo-weight; rational square-root B-spline model;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference, 2009. CCDC '09. Chinese

Conference_Location

Guilin

Print_ISBN

978-1-4244-2722-2

Electronic_ISBN

978-1-4244-2723-9

Type

conf

DOI

10.1109/CCDC.2009.5191803

Filename

5191803