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Efficient implementation of serial multi-agent model predictive control by parallelization


R.R. Negenborn, B. De Schutter, J. Hellendoorn
Delft Center for Systems and Control,
Delft University of Technology


Proceedings of the 2007 IEEE International Conference on Networks, Sensing, and Control (ICNSC 2007)
London, UK, pp. 175-180, April 2007

(Download corresponding technical report)



Abstract
We discuss an extension of a scheme recently proposed for multi-agent control of large-scale networks, like power networks, road traffic networks, water networks, etc. The original scheme uses serial sequences of agent interactions that under some assumptions make agents locally choose actions that are globally optimal. However, some weaknesses of the approach appear when applied to large-scale networks. We identify these weaknesses and propose, for problems with a tree-structured problem topology, an improvement based on parallelization of the serial scheme. With an example we illustrate and compare the schemes.

(Download corresponding technical report)


Bibtex entry
@inproceedings{Negenborn:07,
author={R.R. Negenborn and B. {De Schutter} and J. Hellendoorn},
title={Efficient implementation of serial multi-agent model predictive control by parallelization},
booktitle={Proceedings of the 2007 IEEE International Conference on Networking, Sensing and Control (ICNSC '07)},
address={London, UK},
pages={175--180},
month={April},
year={2007}
}


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