Reference
R. R. Negenborn, B. De Schutter, and J.
Hellendoorn, "Multi-agent model predictive control for transportation networks:
Serial versus parallel schemes,"
Engineering Applications of
Artificial Intelligence, vol. 21, no. 3, pp. 353-366, Apr. 2008.
Abstract
We consider the control of large-scale transportation networks, like road
traffic networks, power distribution networks, water distribution networks,
etc. Control of these networks is often not possible from a single point by a
single intelligent control agent; instead control has to be performed using
multiple intelligent agents. We consider multi-agent control schemes in which
each agent employs a model-based predictive control approach. Coordination
between the agents is used to improve decision making. This coordination can be
in the form of parallel or serial schemes. We propose a novel serial
coordination scheme based on Lagrange theory and compare this with an existing
parallel scheme. Experiments by means of simulations on a particular type of
transportation network, viz., an electric power network, illustrate the
performance of both schemes. It is shown that the serial scheme has preferable
properties compared to the parallel scheme in terms of the convergence speed
and the quality of the solution.
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BibTeX
@article{NegDeS:07-024,
author = {Negenborn, Rudi R. and De Schutter, Bart and Hellendoorn,
Johannes},
title = {Multi-Agent Model Predictive Control for Transportation Networks:
{Serial} versus Parallel Schemes},
journal = {Engineering Applications of Artificial Intelligence},
volume = {21},
number = {3},
pages = {353--366},
month = apr,
year = {2008}
}