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
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;
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
DOI :
10.1109/CCDC.2009.5195154