Abstract
New production control paradigms, such as holonic and multi-agent systems, allow the development of more flexible and adaptive factories. In these distributed approaches, autonomous entities possess a partial view of the environment, being the decisions taken from the cooperation among them. The introduction of self-organization mechanisms to enhance the system adaptation may cause the system instability when trying to constantly adapt their behaviours, which can drive the system to fall into a chaotic behaviour. This paper proposes a nervousness control mechanism based on the classical Proportional, Integral and Derivative feedback loop controllers to support the system self-organization. The validation of the proposed model is made through the simulation of a flexible manufacturing system.
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Barbosa, J., Leitão, P., Adam, E., Trentesaux, D. (2012). Nervousness in Dynamic Self-organized Holonic Multi-agent Systems. In: Pérez, J., et al. Highlights on Practical Applications of Agents and Multi-Agent Systems. Advances in Intelligent and Soft Computing, vol 156. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28762-6_2
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DOI: https://doi.org/10.1007/978-3-642-28762-6_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28761-9
Online ISBN: 978-3-642-28762-6
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