Context and Implications of Learning in Evolvable Production Systems
2011 (English)In: IECON 2011: 37TH ANNUAL CONFERENCE ON IEEE INDUSTRIAL ELECTRONICS SOCIETY, New York: IEEE , 2011, 2740-2745 p.Conference paper (Refereed)
More than ever the impact of market turbulence, high product customization and sustainability can be perceived through the increase of dynamics and complexity of manufacturing and business environments. Modular and distributed control structures are nowadays a consensual way, common to the majority of modern paradigms, to deal with unpredictability and volatility of markets. With modern paradigms aiming on adaptability, evolution and reconfiguration as a way to deal with this reality, learning mechanism have become very important to achieve such requirements. This paper presents an exploratory discussion on the topic of agent-based learning applied in a modern production paradigm such as Evolvable Production Systems (EPS).
Place, publisher, year, edition, pages
New York: IEEE , 2011. 2740-2745 p.
, IEEE Industrial Electronics Society. Annual Conference. Proceedings, ISSN 1553-572X
Embedded Systems Control Engineering Computer Systems
IdentifiersURN: urn:nbn:se:kth:diva-49596ISI: 000299032403005ScopusID: 2-s2.0-84856509738ISBN: 978-1-61284-972-0OAI: oai:DiVA.org:kth-49596DiVA: diva2:459860
37th Annual Conference of the IEEE Industrial Electronics Society, IECON 2011; Melbourne, VIC; 7 November 2011 through 10 November 2011
FunderEU, FP7, Seventh Framework Programme, 62417XPRES - Initiative for excellence in production research
QC 201201092012-01-092011-11-282012-06-19Bibliographically approved