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 :
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