Life lessons from and for distributed MPC – Part 2: Choice of decision makers

S. Olaru; P. McNamara; J. C. Cañizares; M. Farina; J. M. Maestre; P. Trodden; R. R. Negenborn

doi:10.1016/j.ifacol.2018.11.257

Life lessons from and for distributed MPC – Part 2: Choice of decision makers

S. Olaru, P. McNamara, J. C. Cañizares, M. Farina, J. M. Maestre, P. Trodden, R. R. Negenborn

Transport Engineering and Logistics

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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.

Original language	English
Pages (from-to)	107-111
Journal	IFAC-PapersOnLine
Volume	51
Issue number	30
DOIs	https://doi.org/10.1016/j.ifacol.2018.11.257
Publication status	Published - 2018
Event	TECIS 2018: 18th IFAC Conference on Technology, Culture and International Stability - Baku, Azerbaijan Duration: 13 Sept 2018 → 15 Sept 2018

Keywords

Distributed Model Predictive Control
Social Systems

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10.1016/j.ifacol.2018.11.257

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title = "Life lessons from and for distributed MPC – Part 2: Choice of decision makers",

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{\textquoteright} 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.",

keywords = "Distributed Model Predictive Control, Social Systems",

author = "S. Olaru and P. McNamara and Ca{\~n}izares, {J. C.} and M. Farina and Maestre, {J. M.} and P. Trodden and Negenborn, {R. R.}",

year = "2018",

doi = "10.1016/j.ifacol.2018.11.257",

language = "English",

volume = "51",

pages = "107--111",

journal = "IFAC-PapersOnLine",

issn = "2405-8963",

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number = "30",

note = "TECIS 2018: 18th IFAC Conference on Technology, Culture and International Stability ; Conference date: 13-09-2018 Through 15-09-2018",

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T2 - TECIS 2018: 18th IFAC Conference on Technology, Culture and International Stability

AU - Olaru, S.

AU - McNamara, P.

AU - Cañizares, J. C.

AU - Farina, M.

AU - Maestre, J. M.

AU - Trodden, P.

AU - Negenborn, R. R.

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

KW - Distributed Model Predictive Control

KW - Social Systems

U2 - 10.1016/j.ifacol.2018.11.257

DO - 10.1016/j.ifacol.2018.11.257

M3 - Conference article

SN - 2405-8963

VL - 51

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JF - IFAC-PapersOnLine

IS - 30

Y2 - 13 September 2018 through 15 September 2018

ER -

Life lessons from and for distributed MPC – Part 2: Choice of decision makers

Abstract

Keywords

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