Feasible-Cooperation Distributed Model Predictive Control Scheme Based on Game Theory

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 entry

@inproceedings{ValEsp:11-020,
author={F. Valencia and J.J. Espinosa and B. {D}e Schutter and K. Sta{\v{n}}kov{\'{a}}},
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},
doi={10.3182/20110828-6-IT-1002.02231}
}

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