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Title:Multi-agent model predictive control for transportation networks: Serial versus parallel schemes
Authors:R.R. Negenborn, B. De Schutter, J. Hellendoorn

Conference:12th IFAC Symposium on Information Control Problems in Manufacturing (INCOM 2006)
Address:Saint-Etienne, France
Date:May 2006

Abstract:We consider the control of large-scale transportation networks, like road trac 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.

Reference:R.R. Negenborn, B. De Schutter, J. Hellendoorn. Multi-agent model predictive control for transportation networks: Serial versus parallel schemes. In Proceedings of the 12th IFAC Symposium on Information Control Problems in Manufacturing (INCOM 2006), Saint-Etienne, France, pp. 339-344, May 2006.

BibTeX:
@inproceedings{Negenborn:07b,
  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},
  address =   {London, UK},
  pages =     {175--180},
  month =     {July},
  year =      {2007}
}
Download:Corresponding technical report


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