The Maximum Principle for Global Solutions of Stochastic Stackelberg Differential Games

dc.contributor.ORCID0000-0003-0743-498X (Bensoussan, A)en_US
dc.contributor.authorBensoussan, Alainen_US
dc.contributor.authorChen, Shaokuanen_US
dc.contributor.authorSethi, Suresh P. (UT Dallas)en_US
dc.date.accessioned2016-07-21T19:37:03Z
dc.date.available2016-07-21T19:37:03Z
dc.date.created2015-07-30en_US
dc.description.abstractFor 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.en_US
dc.description.sponsorshipNational Science Foundation (DMS 1303775); Research Grant Council of the HKSAR, (CityU 500113)en_US
dc.identifier.bibliographicCitationBensoussan, Alain, Shaokuan Chen, and Suresh P. Sethi. 2015. "The Maximum Principle for Global Solutions of Stochastic Stackelberg Differential Games." SIAM Journal on Control and Optimization 53(4), doi:10.1137/140958906.en_US
dc.identifier.issn0363-0129en_US
dc.identifier.issue4en_US
dc.identifier.urihttp://hdl.handle.net/10735.1/4959
dc.identifier.volume53en_US
dc.relation.urihttp://dx.doi.org/10.1137/140958906en_US
dc.rights©2015 Society for Industrial and Applied Mathematicsen_US
dc.source.journalSIAM Journal on Control and Optimizationen_US
dc.subjectConceptual structures (Information theory)en_US
dc.subjectManagement gamesen_US
dc.subjectRiccati equationen_US
dc.subjectStackelberg equilibriumen_US
dc.subjectStochastic analysisen_US
dc.subjectMaximum principles (Mathematics)en_US
dc.titleThe Maximum Principle for Global Solutions of Stochastic Stackelberg Differential Gamesen_US
dc.type.genrearticleen_US

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