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
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;
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
DOI :
10.1109/NSSPW.2006.4378848
