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The maximum principle for global solutions of stochastic Stackelberg differential games

Alain BENSOUSSAN, Shaokuan CHEN, Suresh P. SETHI

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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    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 languageEnglish
    Pages (from-to)1956-1981
    JournalSIAM Journal on Control and Optimization
    Volume53
    Issue number4
    Online published30 Jul 2015
    DOIs
    Publication statusPublished - 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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