Self-Organizing Agents for an Adaptive Control of Heat Engines - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2013

Self-Organizing Agents for an Adaptive Control of Heat Engines

Jérémy Boes
Frédéric Migeon

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.
Fichier principal
Vignette du fichier
boes_12476.pdf (316.01 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

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

Identifiants

Citer

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⟩
35 Consultations
11 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More