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Nervousness in dynamic self-organized holonic multi-agent systems
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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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Citação
Barbosa, José; Leitão, Paulo: Adam, Emmanuel; Trentesaux, Damien (2012). Nervousness in dynamic self-organized holonic multi-agent systems. In 10th International Conference on Practical Applications of Agents and Multi-Agent Systems. Salamanca: Univ. Salamanca: Springer-Verlag. p. 9-17. ISBN 978-3-642-28761-9