Disturbance detection, recover and prediction in holonic manufacturing control

Leitão, Paulo; Barbosa, José

http://hdl.handle.net/10198/1547

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Autores

Leitão, Paulo

Barbosa, José

Resumo(s)

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

Palavras-chave

Holonic manufacturing systems Manufacturing control systems Disturbance handling Multi-agent systems

URI

http://hdl.handle.net/10198/1547

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

Editora

IEEE

Coleções

ESTiG - Publicações em Proceedings Indexadas à WoS/Scopus

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