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Comparison of stochastic methods for control in air traffic management


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Authors

Eele, A 
MacIejowski, J 

Abstract

This paper provides a direct comparison of two stochastic optimisation techniques (Markov Chain Monte Carlo and Sequential Monte Carlo) when applied to the problem of conflict resolution and aircraft trajectory control in air traffic management. The two methods are then also compared to another existing technique of Mixed-Integer Linear Programming which is also popular in distributed control.

Description

Keywords

Sequential Monte Carlo, Markov Chain Monte Carlo, Stochastic Optimisation, Air Traffic Management, Model Predictive Control, Optimal Trajectory

Journal Title

IFAC Proceedings Volumes (IFAC-PapersOnline)

Conference Name

Journal ISSN

1474-6670

Volume Title

Publisher

Elsevier BV
Sponsorship
Work supported by EPSRC (Engineering and Physical Sciences Research Council - UK) Grant No. EP/G066477/1