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.


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    Title :

    Predictive control of complex stochastic systems using Markov chain Monte Carlo with application to air traffic control


    Contributors:
    Lecchini, A. (author) / Glover, W. (author) / Lygeros, J. (author) / Maciejowski, J. (author)


    Publication date :

    2007


    Size :

    4 Seiten, 19 Quellen



    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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