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Electrical Engineering and Systems Science > Systems and Control

arXiv:2108.00802 (eess)
[Submitted on 2 Aug 2021]

Title:Coalitional Control for Self-Organizing Agents

Authors:Filiberto Fele, Ezequiel Debada, José M. Maestre, Eduardo F. Camacho
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Abstract:Coalitional control is concerned with the management of multi-agent systems where cooperation cannot be taken for granted (due to, e.g., market competition, logistics). This paper proposes a model predictive control (MPC) framework aimed at large-scale dynamically-coupled systems whose individual components, possessing a limited model of the system, are controlled independently, pursuing possibly competing objectives. The emergence of cooperating clusters of controllers is contemplated through an autonomous negotiation protocol, based on the characterization as a coalitional game of the benefit derived by a broader feedback and the alignment of the individual objectives. Specific mechanisms for the cooperative benefit redistribution that relax the cognitive requirements of the game are employed to compensate for possible local cost increases due to cooperation. As a result, the structure of the overall MPC feedback can be adapted online to the degree of interaction between different parts of the system, while satisfying the individual interests of the agents. A wide-area control application for the power grid with the objective of minimizing frequency deviations and undesired inter-area power transfers is used as study case.
Comments: 14 pages, 8 figures
Subjects: Systems and Control (eess.SY); Multiagent Systems (cs.MA); Optimization and Control (math.OC)
Cite as: arXiv:2108.00802 [eess.SY]
  (or arXiv:2108.00802v1 [eess.SY] for this version)
  https://doi.org/10.48550/arXiv.2108.00802
Journal reference: in IEEE Transactions on Automatic Control, vol. 63, no. 9, pp. 2883-2897, Sept. 2018
Related DOI: https://doi.org/10.1109/TAC.2018.2792301

Submission history

From: Filiberto Fele [view email]
[v1] Mon, 2 Aug 2021 12:08:23 UTC (529 KB)
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