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Multiscale control of Stackelberg games

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  • Herty, Michael
  • Steffensen, Sonja
  • Thünen, Anna

Abstract

We introduce a bilevel problem of the optimal control of an interacting agent system that can be interpreted as Stackelberg game with a large number of followers. It is shown that the model is well posed by providing conditions that allow to formally reduce the problem to a single level unconstrained problem. The mean-field limit is derived formally for infinitely many followers at three different stages of the optimization and the commutativity of these operations (the mean-field limit and first-order optimality on leader and on follower level) is studied. Further, we establish conditions for consistency for the relation between bilevel optimization and mean-field limit. Finally, we propose a numerical method based on the derived models and present numerical examples.

Suggested Citation

  • Herty, Michael & Steffensen, Sonja & Thünen, Anna, 2022. "Multiscale control of Stackelberg games," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 200(C), pages 468-488.
  • Handle: RePEc:eee:matcom:v:200:y:2022:i:c:p:468-488
    DOI: 10.1016/j.matcom.2022.04.028
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    References listed on IDEAS

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    1. Rainer Hegselmann & Ulrich Krause, 2002. "Opinion Dynamics and Bounded Confidence Models, Analysis and Simulation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 5(3), pages 1-2.
    2. Koh, Andrew & Shepherd, Simon, 2010. "Tolling, collusion and equilibrium problems with equilibrium constraints," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 44, pages 3-22.
    3. Bensoussan, A. & Frehse, J. & Yam, S.C.P., 2017. "On the interpretation of the Master Equation," Stochastic Processes and their Applications, Elsevier, vol. 127(7), pages 2093-2137.
    4. Harks, Tobias & Schröder, Marc & Vermeulen, Dries, 2019. "Toll caps in privatized road networks," European Journal of Operational Research, Elsevier, vol. 276(3), pages 947-956.
    5. Julio B. CLEMPNER & Alexander S. POZNYAK, 2016. "Analyzing An Optimistic Attitude For The Leader Firm In Duopoly Models: A Strong Stackelberg Equilibrium Based On A Lyapunov Game Theory Approach," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 50(4), pages 41-60.
    6. Romuald Elie & Thibaut Mastrolia & Dylan Possamaï, 2019. "A Tale of a Principal and Many, Many Agents," Mathematics of Operations Research, INFORMS, vol. 44(2), pages 440-467, May.
    7. Giacomo Albi & Lorenzo Pareschi & Mattia Zanella, 2015. "Uncertainty Quantification in Control Problems for Flocking Models," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-14, June.
    8. Clempner, Julio B. & Poznyak, Alexander S., 2017. "Using the extraproximal method for computing the shortest-path mixed Lyapunov equilibrium in Stackelberg security games," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 138(C), pages 14-30.
    9. Xinmin Hu & Daniel Ralph, 2007. "Using EPECs to Model Bilevel Games in Restructured Electricity Markets with Locational Prices," Operations Research, INFORMS, vol. 55(5), pages 809-827, October.
    10. Heinrich von Stackelberg, 2011. "Market Structure and Equilibrium," Springer Books, Springer, number 978-3-642-12586-7, November.
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