DocumentCode
2915527
Title
Advances in stochastic distribution control
Author
Wang, Aiping ; Guo, Lei ; Hong Wang
Author_Institution
Inst. of Comput. Sci., Anhui Univ., Hefei
fYear
2008
fDate
17-20 Dec. 2008
Firstpage
1479
Lastpage
1483
Abstract
Stochastic distribution control systems aims at the controller design so as to realize a shape control of the distributions of certain random variables in the process. Once the probability density functions (PDFs) of these variables are used to describe their distributions, the control task is to obtain control signals so that the output PFDs of the system are made to follow their target PDFs. In this paper, a survey of the recent developments on the research of stochastic distribution control systems will be made.
Keywords
probability; random processes; shape control; stochastic systems; probability density function; random variable; shape control; stochastic distribution control; Automatic control; Control system synthesis; Control systems; Design engineering; Optimal control; Probability density function; Robotics and automation; Shape control; Stochastic processes; Stochastic systems; Stochastic systems; modelling; optimization; probability density function control;
fLanguage
English
Publisher
ieee
Conference_Titel
Control, Automation, Robotics and Vision, 2008. ICARCV 2008. 10th International Conference on
Conference_Location
Hanoi
Print_ISBN
978-1-4244-2286-9
Electronic_ISBN
978-1-4244-2287-6
Type
conf
DOI
10.1109/ICARCV.2008.4795742
Filename
4795742
Link To Document