Reference
A. N. Tarău, B. De Schutter, and H.
Hellendoorn, "Receding horizon approaches for route choice control of automated
baggage handling systems,"
Proceedings of the European Control
Conference 2009, Budapest, Hungary, pp. 2978-2983, Aug. 2009.
Abstract
State-of-the-art baggage handling systems transport luggage in an automated way
using destination coded vehicles (DCVs). These vehicles transport the bags at
high speeds on a "mini" railway network. Currently, the networks are simple and
the performance of the system is limited. In the research we conduct, more
complex networks are considered. In order to optimize the performance of the
system we compare several predictive control methods that can be used to route
the DCVs through the track network. More specifically, we consider centralized,
decentralized, and distributed model predictive control (MPC). To assess the
performance of the proposed control approaches, we consider a simple benchmark
case study, in which the methods are compared for several scenarios. The
results indicate that the best performance of the system is obtained when using
centralized MPC. However, centralized MPC becomes intractable when the number
of junctions is large due to the high computational effort this method
requires. Decentralized and distributed MPC offer a balanced trade-off between
computation time and optimality.
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BibTeX
@inproceedings{TarDeS:09-012,
author = {Tar{\u{a}}u, Alina N. and De Schutter, Bart and Hellendoorn,
Hans},
title = {Receding Horizon Approaches for Route Choice Control of
Automated Baggage Handling Systems},
booktitle = {Proceedings of the European Control Conference 2009},
address = {Budapest, Hungary},
pages = {2978--2983},
month = aug,
year = {2009}
}