Disturbance detection, recover and prediction in holonic manufacturing control

Leitão, Paulo; Barbosa, José

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

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Authors

Leitão, Paulo

Barbosa, José

Abstract(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.

Description

Indexado ao ISI

Keywords

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

URI

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

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