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Title:Multi-agent model predictive control of transportation networks
Authors:R.R. Negenborn, B. De Schutter, J. Hellendoorn

Conference:2006 IEEE International Conference on Networking, Sensing, and Control (ICNSC 2006)
Address:Ft. Lauderdale, Florida
Date:April 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.

Reference:R.R. Negenborn, B. De Schutter, J. Hellendoorn. Multi-agent model predictive control of transportation networks. In Proceedings of the 2006 IEEE International Conference on Networking, Sensing, and Control (ICNSC 2006), Ft. Lauderdale, Florida, pp. 296-301, April 2006.

BibTeX:
@inproceedings{NegDeS:05-021,
  author =    {R. R. Negenborn and B. {De Schutter} and H. Hellendoorn},
  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 =   {Fort Lauderdale, Florida},
  pages =     {296--301},
  month =     {April},
  year =      {2006}
}
Download:Corresponding technical report


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