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Article Dans Une Revue Journal of Systems and Software Année : 2017

Self-Organizing Multi-Agent Systems for the Control of Complex Systems

Résumé

Because of the law of requisite variety, designing a controller for complex systems implies designing a complex system. In software engineering, usual top-down approaches become inadequate to design such systems. The Adaptive Multi-Agent Systems (AMAS) approach relies on the cooperative self-organization of autonomous micro-level agents to tackle macro-level complexity. This bottom-up approach provides adaptive, scalable, and robust systems. This paper presents a complex system controller that has been designed following this approach, and shows results obtained with the automatic tuning of a real internal combustion engine.
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Dates et versions

hal-03512924 , version 1 (05-01-2022)

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Jérémy Boes, Frédéric Migeon. Self-Organizing Multi-Agent Systems for the Control of Complex Systems. Journal of Systems and Software, 2017, 134, pp.12-28. ⟨10.1016/j.jss.2017.08.038⟩. ⟨hal-03512924⟩
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