Self-Organizing Agents for an Adaptive Control of Heat Engines
International audience 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 Mult...
Published in: | Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics |
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Main Authors: | , , |
Other Authors: | , , , , , , , , , , |
Format: | Conference Object |
Language: | English |
Published: |
HAL CCSD
2013
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Subjects: | |
Online Access: | https://hal.science/hal-04083843 https://hal.science/hal-04083843/document https://hal.science/hal-04083843/file/boes_12476.pdf https://doi.org/10.5220/0004483302430250 |
Summary: | International audience 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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