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Advances in stochastic distribution control

  • Aiping Wang*
  • , Lei Guo
  • , Hong Wang
  • *Corresponding author for this work
  • Anhui University
  • University of Manchester

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008
PublisherIEEE Computer Society
Pages1479-1483
Number of pages5
ISBN (Print)9781424422876
DOIs
StatePublished - 2008
Event10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008 - Hanoi, Viet Nam
Duration: 17 Dec 200820 Dec 2008

Publication series

Name2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008

Conference

Conference10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008
Country/TerritoryViet Nam
CityHanoi
Period17/12/0820/12/08

Keywords

  • Modelling
  • Optimization
  • Probability density function control
  • Stochastic systems

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