Please use this identifier to cite or link to this item:
Title: Modelling and simulating self-organizing agent-based manufacturing systems
Author: Barbosa, José
Leitão, Paulo
Keywords: Agent-based manufacturing control
Issue Date: 2010
Citation: Barbosa, José; Leitão, Paulo (2010) - Modelling and simulating self-organizing agent-based manufacturing systems. In Proceedings of the 36th Annual Conference of the IEEE Industrial Electronics Society (IECON’10). Glendale, US. p. 2696-2701
Abstract: The multi-agent systems paradigm, enhanced with biological inspired concepts, such as swarm intelligence and selforganization, offers an alternative way to design control solutions that address the current demands or flexible, robust, responsive and adaptive manufacturing and automation systems. Being the development of these systems traditionally complex, the use of modelling and simulating environments may contribute for the fast prototyping and proof of concept of these solutions. This paper explores the use of these environments and uses the NetLogo platform to illustrate the development of an agent-based control application for an experimental production system. The designed and tested agent-based system exhibits robustness and adaptation to changing environments based on the stigmergy concept.
Appears in Collections:DE - Publicações em Proceedings Indexadas ao ISI/Scopus

Files in This Item:
File Description SizeFormat 
2010-IECON-published.pdf476,16 kBAdobe PDFView/Open    Request a copy

FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpace
Formato BibTex MendeleyEndnote Degois 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.