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Please use this identifier to cite or link to this item: http://hdl.handle.net/10198/1547

Título: Disturbance detection, recover and prediction in holonic manufacturing control
Autor: Leitão, Paulo
Barbosa, José
Palavras-chave: Holonic manufacturing systems
Manufacturing control systems
Disturbance handling
Multi-agent systems
Issue Date: 2006
Editora: IEEE
Citação: Leitão, Paulo; Barbosa, José (2006) - Disturbance detection, recover and prediction in holonic manufacturing control. In Proceedings of the IEEE Workshop on Distributed Intelligent Systems: Collective Intelligence and Its Applications. Prague, Czech Republic. p.133-138. ISBN: 0-7695-2589-X
Resumo: Disturbance handling is a crucial issue in the development of intelligent and reconfigurable manufacturing control systems, supporting the fast and promptly response to the occurrence of unexpected disturbances. In holonic manufacturing control systems, the disturbance handling functions are distributed by the several autonomous control units. In this paper, a predictive disturbance handling approach is presented, transforming the traditional “fail and recover” practices into “predict and prevent” practices, allowing improving the control system performance.
Descrição: Indexado ao ISI
URI: http://hdl.handle.net/10198/1547
ISBN: 0-7695-2589-X
Appears in Collections:DE - Publicações em Proceedings Indexadas ao ISI

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