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A game theoretical randomized method for large-scale systems partitioning

Author
Muros, F.; Maestre, J.; Ocampo-Martinez, C.A.; Algaba, E.; Fernández Camacho, Eduardo
Type of activity
Journal article
Journal
IEEE access
Date of publication
2018
Volume
6
Number
1
First page
42245
Last page
42263
DOI
https://doi.org/10.1109/ACCESS.2018.2854783 Open in new window
Repository
http://hdl.handle.net/2117/124269 Open in new window
URL
https://ieeexplore.ieee.org/document/8409399/ Open in new window
Abstract
In this paper, a game theory-based partitioning algorithm for large-scale systems (LSS) is proposed. More specifically, a game over nodes is introduced in a model predictive control framework. The Shapley value of this game is used to rank the communication links of the control network based on their impact on the overall system performance. A randomized method to estimate the Shapley value of each node and also an efficient redistribution of the resulting value to the links involved are conside...
Citation
Muros, F., Maestre, J., Ocampo-Martinez, C.A., Algaba, E., Fernández Camacho, E. A game theoretical randomized method for large-scale systems partitioning. "IEEE access", 2018, vol. 6, núm. 1, p. 42245-42263.
Keywords
Coalitional control, Shapley value, automation, control theory, cooperative game theory, drinking water networks (DWN), large-scale systems (LSS), optimisation, randomized methods, system partitioning
Group of research
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Advanced Control Systems

Participants

  • Muros Ponce, Francisco  (author)
  • Maestre Torreblanca, José María  (author)
  • Ocampo Martinez, Carlos A.  (author)
  • Algaba Durán, Encarnación  (author)
  • Fernández Camacho, Eduardo  (author)