Abstract
The reverse Stackelberg game provides a suitable decision-making framework for hierarchical control problems like network pricing and toll design. We propose a novel numerical solution approach for systematic computation of optimal nonlinear leader functions, also known as incentives, for reverse Stackelberg games with incomplete information and general, nonconcave utility functions. In particular, we apply basis function approximation to the class of nonlinear leader functions, and treat the incentive design problem as a standard semi-infinite programming problem. A worked example is provided to illustrate the proposed solution approach and to demonstrate its efficiency.
Original language | English |
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Title of host publication | Proceedings 2016 IEEE 55th Conference on Decision and Control (CDC) |
Editors | Francesco Bullo, Christophe Prieur, Alessandro Giua |
Place of Publication | Piscataway, NJ, USA |
Publisher | IEEE |
Pages | 5304-5309 |
ISBN (Print) | 978-1-5090-1837-6 |
DOIs | |
Publication status | Published - 2016 |
Event | 55th IEEE Conference on Decision and Control, CDC 2016 - Las Vegas, United States Duration: 12 Dec 2016 → 14 Dec 2016 |
Conference
Conference | 55th IEEE Conference on Decision and Control, CDC 2016 |
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Abbreviated title | CDC 2016 |
Country/Territory | United States |
City | Las Vegas |
Period | 12/12/16 → 14/12/16 |
Keywords
- Games
- Programming
- Optimization
- Standards
- Systematics
- Indexes
- Decision making