Probabilistic control design for continuous-time stochastic nonlinear systems: a PDF-shaping approach

Author

Forbes, Michael G. ; Guay, Martin ; Forbes, J. Fraser

Author_Institution

Dept. of Chem. & Mater. Eng., Alberta Univ., Edmonton, Alta., Canada

fYear

2004

fDate

2-4 Sept. 2004

Firstpage

132

Lastpage

136

Abstract

For the purposes of industrial control, it is often desirable that process variables remain near a set operating point over the long term. This type of long term process performance can be concisely summarized by the stationary probability density function (PDF). In this work, feedback control laws are designed for continuous-time stochastic nonlinear processes so that the closed-loop system is indeed stationary with the PDF chosen in the control design.

Keywords

closed loop systems; continuous time systems; control system synthesis; feedback; industrial control; nonlinear systems; probability; stochastic systems; PDF-shaping approach; closed-loop system; continuous-time stochastic nonlinear systems; feedback control laws; industrial control; probabilistic control design; process variables; stationary probability density function; Chemical engineering; Control design; Feedback control; Histograms; Nonlinear systems; Probability density function; Process control; Shape control; Stochastic processes; Stochastic systems;

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.2004.1387671

Filename

1387671