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