Abstract
For stochastic Stackelberg differential games played by a leader and a follower, there are several solution concepts in terms of the players' information sets. In this paper we derive the maximum principle for the leader's global Stackelberg solution under the adapted closed-loop memoryless information structure, where the term global signifies the leader's domination over the entire game duration. As special cases, we study linear quadratic Stackelberg games under both adapted open-loop and adapted closed-loop memoryless information structures, as well as the resulting Riccati equations.
| Original language | English |
|---|---|
| Pages (from-to) | 1956-1981 |
| Journal | SIAM Journal on Control and Optimization |
| Volume | 53 |
| Issue number | 4 |
| Online published | 30 Jul 2015 |
| DOIs | |
| Publication status | Published - 2015 |
Research Keywords
- Forward-backward stochastic differential equation
- Maximum principle
- Riccati equation
- Stackelberg differential game
Publisher's Copyright Statement
- COPYRIGHT TERMS OF DEPOSITED FINAL PUBLISHED VERSION FILE: © 2015 Society for Industrial and Applied Mathematics.
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Dive into the research topics of 'The maximum principle for global solutions of stochastic Stackelberg differential games'. Together they form a unique fingerprint.Projects
- 1 Finished
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GRF: Mean Field Theory, Stochastic Control and Systems of Partial Differential Equations
SINGPURWALLA, N. D. (Principal Investigator / Project Coordinator), BENSOUSSAN, A. (Co-Investigator) & YAM, P.S.-C. (Co-Investigator)
1/10/13 → 13/03/18
Project: Research
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