Feasible-cooperation distributed model predictive control scheme based on game theory


Reference:
F. Valencia, J.J. Espinosa, B. De Schutter, and K. Stanková, "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.


Downloads:
 * Online version of the paper
 * Corresponding technical report: pdf file (204 KB)
      Note: More information on the pdf file format mentioned above can be found here.


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}
        }



Go to the publications overview page.


This page is maintained by Bart De Schutter. Last update: December 15, 2015.