Multi-Agent Model Predictive Control
of Transportation Networks | ||
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R.R. Negenborn, B. De Schutter, J. Hellendoorn Delft Center for Systems and Control, Delft University of Technology Proceedings of the 2006 IEEE International Conference on Networks, Sensing, and Control (ICNSC 2006) Ft. Lauderdale, Florida, pp. 296-301, April 2006 (Download corresponding technical report) | ||
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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. (Download corresponding technical report) | ||
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