Reference
F. Valencia,
J. J. Espinosa, B. De
Schutter, and K. Staňková, "Feasible-cooperation distributed
model predictive control scheme based on game theory,"
Proceedings of the 18th IFAC World Congress, Milan, Italy,
pp. 386-391, Aug.-Sept. 2011.
Abstract
This work deals with the formulation of a distributed model predictive control
scheme as a decision problem in which the decisions of each subsystem affect
the decisions of the other subsystems and the performance of the whole system.
This decision problem is formulated as a bargaining game. This formulation
allows each subsystem to decide whether to cooperate or not depending on the
benefits that the subsystem can gain from the cooperation. A solution based on
game theory is proposed. The convexity and feasibility properties of the
proposed solution are also presented. The proposed control scheme is tested on
a case study with a chain of two continuous stirred tank reactors followed by a
non-adiabatic flash separator.
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BibTeX
@inproceedings{ValEsp:11-020,
author = {Valencia, Felipe and Espinosa, Jairo J. and De Schutter, Bart
and Sta{\v{n}}kov{\'{a}}, Kate{\v{r}}ina},
title = {Feasible-Cooperation Distributed Model Predictive Control
Scheme Based on Game Theory},
booktitle = {Proceedings of the 18th IFAC World Congress},
address = {Milan, Italy},
pages = {386--391},
month = aug # {--} # sep,
year = {2011}
}