Communication Dans Un Congrès Année : 2013

Self-Organizing Agents for an Adaptive Control of Heat Engines

Résumé

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.

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Dates et versions

hal-04083843 , version 1 (27-04-2023)

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Jérémy Boes, Frédéric Migeon, François Gatto. Self-Organizing Agents for an Adaptive Control of Heat Engines. 10th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2013), Jul 2013, Reykjavik, Iceland. pp.243-250, ⟨10.5220/0004483302430250⟩. ⟨hal-04083843⟩
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