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most citedA note on the global stochastic maximum principle for fully coupled forward-backward stochastic systems

3 citations · 3 across the 4 of their papers we have counts for

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math.OC2019

Linear quadratic problems for fully coupled forward-backward stochastic control systems

Mingshang Hu, Shaolin Ji, Xiaole Xue

This paper is concerned with optimal control of stochastic fully coupled forward-backward linear quadratic (FBLQ) problems with indefinite control weight costs. In order to obtain…

math.OC20183 cited

A note on the global stochastic maximum principle for fully coupled forward-backward stochastic systems

Mingshang Hu, Shaolin Ji, Xiaole Xue

Hu et. al 2018 studied a stochastic optimal control problem for fully coupled forward-backward stochastic control systems with a nonempty control domain. By assuming a weakly coupl…

math.OC2018

The existence and uniqueness of viscosity solution to a kind of Hamilton-Jacobi-Bellman equations

Mingshang Hu, Shaolin Ji, Xiaole Xue

In this paper, we study the existence and uniqueness of viscosity solutions to a kind of Hamilton-Jacobi-Bellman (HJB) equations combined with algebra equations. This HJB equation…

math.OC2018

Stochastic maximum principle, dynamic programming principle, and their relationship for fully coupled forward-backward stochastic control systems

Mingshang Hu, Shaolin Ji, Xiaole Xue

Within the framework of viscosity solution, we study the relationship between the maximum principle (MP) in [9] and the dynamic programming principle (DPP) in [10] for a fully coup…

math.OC2018

A global stochastic maximum principle for fully coupled forward-backward stochastic systems

Mingshang Hu, Shaolin Ji, Xiaole Xue

We study a stochastic optimal control problem for fully coupled forward-backward stochastic control systems with a nonempty control domain. For our problem, the first-order and sec…

math.OC2017

Stochastic Linear Quadratic Optimal Control with General Control Domain

Shaolin Ji, Xiaole Xue

This paper considers the stochastic linear quadratic optimal control problem in which the control domain is nonconvex. By the functional analysis and convex perturbation methods, w…