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

Boes, Jérémy and Migeon, Frédéric Self-Organizing Multi-Agent Systems for the Control of Complex Systems. (2017) Journal of Systems and Software, 134. 12-28. ISSN 0164-1212

(Document in English)

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Official URL: https://doi.org/10.1016/j.jss.2017.08.038


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.

Item Type:Article
Additional Information:https://www.sciencedirect.com/science/article/pii/S0164121217301838?via%3Dihub
HAL Id:hal-03512924
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Laboratory name:
Deposited On:08 Nov 2018 14:30

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