Optimal leader functions for the reverse Stackelberg game: Splines and basis functions


Reference:
N. Groot, B. De Schutter, and H. Hellendoorn, "Optimal leader functions for the reverse Stackelberg game: Splines and basis functions," Proceedings of the 2013 European Control Conference, Zürich, Switzerland, pp. 696-701, July 2013.

Abstract:
In order to deal with the control of large-scale infrastructures, a multi-level approach may be required in which several groups of decision makers have different objectives. A game formulation can help to structure such a control task. The reverse Stackelberg game has a hierarchical structure in which the follower player acts subsequent to the leader's disclosure of her leader function, which maps the follower decision space into the leader decision space. The problem of finding a leader function such that the leader's objective function is optimized, given an optimal response w.r.t. the follower objective function, is in general a difficult problem. So far, the set of optimal affine leader functions has been delineated. However, for the more general class of nonlinear leader functions, no structured solution approach exists yet. In this paper, we consider several nonlinear structures for an optimal leader function based on basis functions as well as based on interpolating splines and we show how these approaches can be adopted to find an optimal leader function.


Downloads:
 * Corresponding technical report: pdf file (412 KB)
      Note: More information on the pdf file format mentioned above can be found here.


Bibtex entry:

@inproceedings{GroDeS:13-023,
        author={N. Groot and B. {D}e Schutter and H. Hellendoorn},
        title={Optimal leader functions for the reverse {Stackelberg} game: Splines and basis functions},
        booktitle={Proceedings of the 2013 European Control Conference},
        address={Z\"urich, Switzerland},
        pages={696--701},
        month=jul,
        year={2013}
        }



Go to the publications overview page.


This page is maintained by Bart De Schutter. Last update: March 21, 2022.