• DocumentCode
    3649595
  • Title

    Minimum entropy control?

  • Author

    Zhou Jinglin;Zhu Haijiang;Wang Jing

  • Author_Institution
    College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China
  • fYear
    2012
  • fDate
    7/1/2012 12:00:00 AM
  • Firstpage
    1590
  • Lastpage
    1595
  • Abstract
    For non-Gaussian stochastic systems, minimum entropy control methods are used to instead of the minimum variance control method in Gaussian systems. In this paper, some causes about the minimum entropy control may not be realized are given based on analysis the Shannon entropy definition of continuous random variable. On this basis, a new entropy, which has a similar nature with shannon entropy, construction method is presented, and some key properties of the new entropy are proved. Such nature of the new entropy shows that it meets the basic requirements of design of the minimum new entropy controller. Nextly, some conclusions are extended to the PDF by B-spline basis function approximation systems. And then, a minimum new entropy control with the mean constraint is constructed. Simulation illustrates the effectiveness of the minimum new entropy control with the mean constraint controller.
  • Keywords
    "Entropy","Random variables","Probability density function","Vectors","Splines (mathematics)","Stochastic systems","Control systems"
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2012 31st Chinese
  • ISSN
    1934-1768
  • Print_ISBN
    978-1-4673-2581-3
  • Electronic_ISBN
    2161-2927
  • Type

    conf

  • Filename
    6390179