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