Lavindra de Silva
Synthesising industry-standard manufacturing process controllers
de Silva, Lavindra; Felli, Paolo; Chaplin, Jack C.; Logan, Brian; Sanderson, David; Ratchev, Svetan
Authors
Paolo Felli
JACK CHAPLIN Jack.Chaplin@nottingham.ac.uk
Assistant Professor
Brian Logan
DAVID SANDERSON DAVID.SANDERSON@NOTTINGHAM.AC.UK
Senior Research Fellow
Professor SVETAN RATCHEV svetan.ratchev@nottingham.ac.uk
Cripps Professor of Production Engineering & Head of Research Division
Citation
de Silva, L., Felli, P., Chaplin, J. C., Logan, B., Sanderson, D., & Ratchev, S. (2017). Synthesising industry-standard manufacturing process controllers. In Proceedings of the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2017) (1811-1813)
| Conference Name | Sixteenth International Conference on Autonomous Agents and Multiagent Systems |
|---|---|
| Conference Location | Sao Paolo, Brazil |
| Start Date | May 8, 2017 |
| End Date | May 12, 2017 |
| Acceptance Date | Mar 2, 2017 |
| Publication Date | May 8, 2017 |
| Deposit Date | Mar 23, 2017 |
| Publicly Available Date | May 8, 2017 |
| Journal | Proceedings of the 2017 International Conference on Autonomous Agents and Multiagent Systems |
| Peer Reviewed | Peer Reviewed |
| Pages | 1811-1813 |
| Book Title | Proceedings of the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2017) |
| Keywords | Manufacturability; controller synthesis; manufacturing as a service |
| Public URL | https://nottingham-repository.worktribe.com/output/859846 |
| Publisher URL | http://www.ifaamas.org/Proceedings/aamas2017/pdfs/p1811.pdf |
| Related Public URLs | http://www.ifaamas.org/Proceedings/aamas2017/ |
| Additional Information | Accompanying video available at: https://youtu.be/SEveuikI3p8 Published in: Proceedings of the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2017), S. Das, E. Durfee, K. Larson, M. Winikoff (eds.), May 8–12, 2017, São Paulo, Brazil. Copyright c 2017, International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). |
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