• DocumentCode
    2024667
  • Title

    Predictive Control of Complex Stochastic Systems using Markov Chain Monte Carlo with Application to Air Traffic Control

  • Author

    Lecchini, A. ; Glover, W. ; Lygeros, J. ; Maciejowski, J.

  • Author_Institution
    Department of Engineering, University of Leicester, UK. E-mail: al394@cam.ac.uk
  • fYear
    2006
  • fDate
    13-15 Sept. 2006
  • Firstpage
    175
  • Lastpage
    178
  • Abstract
    Markov chain Monte Carlo (MCMC) methods can be used to make optimal decisions in very complex situations in which stochastic effects are prominent. In this paper we briefly introduce our current research on the application of MCMC to the predictive control of complex stochastic systems and the application to air traffic control.
  • Keywords
    Air safety; Air traffic control; Aircraft; Monte Carlo methods; Predictive control; Predictive models; Stochastic processes; Stochastic systems; Traffic control; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nonlinear Statistical Signal Processing Workshop, 2006 IEEE
  • Conference_Location
    Cambridge, UK
  • Print_ISBN
    978-1-4244-0581-7
  • Electronic_ISBN
    978-1-4244-0581-7
  • Type

    conf

  • DOI
    10.1109/NSSPW.2006.4378848
  • Filename
    4378848
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2024667