Reference
R. R. Negenborn, B. De Schutter, and H.
Hellendoorn, "Multi-agent model predictive control for transportation networks:
Serial versus parallel schemes,"
Proceedings of the 12th IFAC
Symposium on Information Control Problems in Manufacturing (INCOM'2006),
Saint-Etienne, France, pp. 339-344, May 2006.
Abstract
We consider the control of large-scale transportation networks, like road
traffic networks, power distribution networks, water distribution networks,
etc. For control of these networks, we propose a multi-agent control scheme in
which each agent employs Model Predictive Control. In order to obtain
coordination and to improve decision making agents communicate with each other.
We compare two Lagrangian-based communication and decision making schemes. One
scheme is based on serial iterations between agents, while the other is based
on parallel iterations. The schemes are explained theoretically and assessed
experimentally by means of simulations on a particular type of transportation
network, viz., a power distribution network. The serial scheme shows to have
preferable properties compared to the parallel scheme in terms of solution
speed and quality.
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BibTeX
@inproceedings{NegDeS:06-005,
author = {Negenborn, Rudi R. and De Schutter, Bart and Hellendoorn,
Hans},
title = {Multi-Agent Model Predictive Control for Transportation
Networks: {Serial} versus Parallel Schemes},
booktitle = {Proceedings of the 12th IFAC Symposium on Information Control
Problems in Manufacturing (INCOM'2006)},
address = {Saint-Etienne, France},
pages = {339--344},
month = may,
year = {2006}
}