Reference
R. R. Negenborn, B. De Schutter, and H.
Hellendoorn, "Multi-agent model predictive control of transportation networks,"
Proceedings of the 2006 IEEE International Conference on
Networking, Sensing and Control (ICNSC 2006), Ft. Lauderdale, Florida,
pp. 296-301, Apr. 2006.
Abstract
We consider multi-agent, or distributed, control of transportation networks,
like traffic, water, and power networks. These networks typically have a large
geographical span, modular structure, and a large number of components that
require control. We discuss the necessity of a multi-agent control setting in
which multiple agents control parts of the network. As potential control
methodology we consider Model Predictive Control (MPC) in a multi-agent
setting. We first outline a framework for modeling transportation networks into
subsystems using external variables and then discuss issues that arise when
controlling these networks with multi-agent MPC. Several approaches to these
issues are structured and discussed in terms of the outlined framework.
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BibTeX
@inproceedings{NegDeS:05-021,
author = {Negenborn, Rudi R. and De Schutter, Bart and Hellendoorn,
Hans},
title = {Multi-Agent Model Predictive Control of Transportation
Networks},
booktitle = {Proceedings of the 2006 IEEE International Conference on
Networking, Sensing and Control (ICNSC 2006)},
address = {Ft.\ Lauderdale, Florida},
pages = {296--301},
month = apr,
year = {2006}
}