Reference:
R.R. Negenborn,
B. De Schutter, and
J. Hellendoorn,
"Efficient implementation of serial multi-agent model predictive
control by parallelization," Proceedings of the 2007 IEEE
International Conference on Networking, Sensing and Control (ICNSC
'07), London, UK, pp. 175-180, Apr. 2007.
Abstract:
We discuss an extension of a scheme recently proposed for multi-agent
control of large-scale networks, like power networks, road traffic
networks, water networks, etc. The original scheme uses serial
sequences of agent interactions that under some assumptions make
agents locally choose actions that are globally optimal. However, some
weaknesses of the approach appear when applied to large-scale
networks. We identify these weaknesses and propose, for problems with
a tree-structured problem topology, an improvement based on
parallelization of the serial scheme. With an example we illustrate
and compare the schemes.