Partially observed optimal controls of forward-backward doubly stochastic systems
ESAIM: Control, Optimisation and Calculus of Variations, Volume 19 (2013) no. 3, pp. 828-843.

The partially observed optimal control problem is considered for forward-backward doubly stochastic systems with controls entering into the diffusion and the observation. The maximum principle is proven for the partially observable optimal control problems. A probabilistic approach is used, and the adjoint processes are characterized as solutions of related forward-backward doubly stochastic differential equations in finite-dimensional spaces. Then, our theoretical result is applied to study a partially-observed linear-quadratic optimal control problem for a fully coupled forward-backward doubly stochastic system.

DOI: 10.1051/cocv/2012035
Classification: 93E20,  60H10
Keywords: forward-backward doubly stochastic system, partially observed optimal control, maximum principle, adjoint equation
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Shi, Yufeng; Zhu, Qingfeng. Partially observed optimal controls of forward-backward doubly stochastic systems. ESAIM: Control, Optimisation and Calculus of Variations, Volume 19 (2013) no. 3, pp. 828-843. doi : 10.1051/cocv/2012035. http://www.numdam.org/articles/10.1051/cocv/2012035/

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