A Maximum Principle for Controlled Time‐Symmetric Forward‐Backward Doubly Stochastic Differential Equation with Initial‐Terminal Sate Constraints
Author(s) -
Shaolin Ji,
Qingmeng Wei,
Xiumin Zhang
Publication year - 2012
Publication title -
abstract and applied analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.228
H-Index - 56
eISSN - 1687-0409
pISSN - 1085-3375
DOI - 10.1155/2012/537376
Subject(s) - mathematics , terminal (telecommunication) , stochastic differential equation , maximum principle , optimal control , quadratic equation , perturbation (astronomy) , stochastic control , mathematical analysis , mathematical optimization , computer science , telecommunications , geometry , physics , quantum mechanics
We study the optimal control problem of a controlled time-symmetric forward-backward doubly stochastic differential equation with initial-terminal state constraints. Applying the terminal perturbation method and Ekeland’s variation principle, a necessary condition of the stochastic optimal control, that is, stochastic maximum principle, is derived. Applications to backward doubly stochastic linear-quadratic control models are investigated
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