• 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