Olaru, S., McNamara, P., Canizares, J.C. et al. (4 more authors) (2018) Life lessons from and for distributed MPC – Part 2: Choice of decision makers. In: Kopacek, P., Wien, T.U. and Ibrahimov, B., (eds.) IFAC-PapersOnLine. 18th IFAC Conference on Technology, Culture and International Stability (TECIS18), 13-15 Sep 2018, Baku, Azerbaijan. International Federation of Automatic Control , pp. 107-111.
Abstract
This paper and an accompanying paper (McNamara et al., 2018) revisit the Distributed Predictive Control (DMPC) literature and seek to establish links with the social behaviour, focusing in particular on ways in which DMPC could be used to provide insights into the mechanisms of group regulation in social systems. It will be noted that there are major differences between the way in which DMPC algorithms and Social Human Participants (SHPs) form their respective decisions.
Whereas in a first paper (McNamara et al., 2018) we concentrated on the dynamics of the cooperation and the weightings in the agents’ decision, the present paper extends the discussion to the arrangements in the group of decision makers. This paper concludes with some caveats as regards further analyses of social system using the methods proposed in these two papers.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2018 IFAC. Reproduced in accordance with the publisher's self-archiving policy. |
Keywords: | Distributed Model Predictive Control; Social Systems |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 06 Dec 2018 11:15 |
Last Modified: | 06 Dec 2018 11:15 |
Published Version: | https://doi.org/10.1016/j.ifacol.2018.11.257 |
Status: | Published |
Publisher: | International Federation of Automatic Control |
Refereed: | Yes |
Identification Number: | 10.1016/j.ifacol.2018.11.257 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:139572 |