Time-Inconsistent Recursive Stochastic Optimal Control Problems
Keywords
Equilibrium Hamilton-Jacobi-Bellman equation; Equilibrium strategy; Stochastic differential games; Stochastic optimal control; Time-inconsistency
Abstract
A time-inconsistent stochastic optimal control problem with a recursive cost func- tional is studied. Equilibrium strategy is introduced, which is time-consistent and locally approxi- mately optimal. By means of multiperson hierarchical differential games associated with partitions of the time interval, a family of approximate equilibrium strategy is constructed, and by sending the mesh size of the time interval partition to zero, an equilibrium Hamilton{Jacobi{Bellman (HJB) equation is derived through which the equilibrium value function can be identified and the equilib- rium strategy can be obtained. Moreover, a well-posedness result of the equilibrium HJB equation is established under certain conditions, and a verification theorem is proved. Finally, an illustrative example is presented, and some comparisons of different definitions of equilibrium strategy are put in order.
Publication Date
1-1-2017
Publication Title
SIAM Journal on Control and Optimization
Volume
55
Issue
6
Number of Pages
4156-4201
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1137/16M1079415
Copyright Status
Unknown
Socpus ID
85039973316 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85039973316
STARS Citation
Wei, Qingmeng; Yong, Jiongmin; and Yu, Zhiyong, "Time-Inconsistent Recursive Stochastic Optimal Control Problems" (2017). Scopus Export 2015-2019. 5847.
https://stars.library.ucf.edu/scopus2015/5847