Multi-agent model predictive control of transportation networks


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.


Downloads:
 * Corresponding technical report: pdf file (121 KB)
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Bibtex entry:

@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={Ft.\ Lauderdale, Florida},
        pages={296--301},
        month=apr,
        year={2006}
        }



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