Self-organizing Agents for an Adaptive Control of Heat Engines

Jérémy Boes, Frédéric Migeon, François Gatto

2013

Abstract

Controlling heat engines imposes to deal with high dynamics, non-linearity and multiple interdependencies. A way handle these difficulties is enable the controller to learn how the engine behaves, hence avoiding the costly use of an explicit model of the process. Adaptive Multi-Agent Systems (AMAS) are able to learn and to adapt themselves to their environment thanks to the cooperative self-organization of their agents. A change in the organization of the agents results in a change of the emergent function. Thus we assume that AMAS are a good alternative for complex systems control, reuniting learning, adaptivity, robustness and genericity. In this paper, we present an AMAS for the control of heat engines and show several results.

Paper Citation

in Harvard Style

Boes J., Migeon F. and Gatto F. (2013). Self-organizing Agents for an Adaptive Control of Heat Engines . In Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-8565-70-9, pages 243-250. DOI: 10.5220/0004483302430250

in Bibtex Style

@conference{icinco13,
author={Jérémy Boes and Frédéric Migeon and François Gatto},
title={Self-organizing Agents for an Adaptive Control of Heat Engines},
booktitle={Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2013},
pages={243-250},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004483302430250},
isbn={978-989-8565-70-9},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Self-organizing Agents for an Adaptive Control of Heat Engines
SN - 978-989-8565-70-9
AU - Boes J.
AU - Migeon F.
AU - Gatto F.
PY - 2013
SP - 243
EP - 250
DO - 10.5220/0004483302430250