DocumentCode
2843116
Title
Recent advances on stochastic distribution control: Probability density function control
Author
Aiping Wang ; Wang, Hong ; Lei Guo
Author_Institution
Inst. of Comput. Sci., Anhui Univ., Hefei, China
fYear
2009
fDate
17-19 June 2009
Abstract
This semi-plenary paper presents a brief and selected survey on the advances on stochastic distribution control, where the purpose of the controller design is to control the shape of output probability density functions (pdf) of non-Gaussian and general stochastic systems. This research was motivated through the requirement of distribution shape control of a number of practical systems in 1996. Following the developments since 1996, much research has been performed internationally and journal special issues and invited session at major conferences have been seen since 2001. It is expected that this survey will provide readers with some up-to-date information on this new area.
Keywords
control system synthesis; probability; shape control; stochastic processes; stochastic systems; controller design; nonGaussian stochastic system; probability density function control; shape control; stochastic distribution control; Control systems; Instruments; Open loop systems; Partial differential equations; Probability density function; Process control; Shape control; Stochastic processes; Stochastic systems; Voltage control; Probability density functions; control systems design; stochastic systems;
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.2009.5195154
Filename
5195154
Link To Document