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Title: Disturbance detection, recover and prediction in holonic manufacturing control
Author: Leitão, Paulo
Barbosa, José
Keywords: Holonic manufacturing systems
Manufacturing control systems
Disturbance handling
Multi-agent systems
Issue Date: 2006
Publisher: IEEE
Citation: 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
Abstract: 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.
Description: Indexado ao ISI
ISBN: 0-7695-2589-X
Appears in Collections:DE - Publicações em Proceedings Indexadas ao ISI/Scopus

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