English
Related papers

Related papers: Linear-Quadratic Optimal Control Problems for Mean…

200 papers

We are interested in the optimal control problem associated with certain quadratic cost functionals depending on the solution $X=X^\alpha$ of the stochastic mean-field type evolution equation in $\mathbb R^d$ $dX_t=b(t,X_t,\mathcal…

Probability · Mathematics 2020-07-06 Antoine Hocquet , Alexander Vogler

This paper is devoted to an optimal control problem of fully coupled forward-backward stochastic differential equations driven by sub-diffusion, whose solutions are not Markov processes. The stochastic maximum principle is obtained, where…

Optimization and Control · Mathematics 2025-03-11 Chenhui Hao , Jingtao Shi , Shuaiqi Zhang

This paper is concerned with a linear quadratic (LQ, for short) optimal control problem with fixed terminal states and integral quadratic constraints. A Riccati equation with infinite terminal value is introduced, which is uniquely solvable…

Optimization and Control · Mathematics 2017-05-11 Jingrui Sun

In this paper, we study the maximum principle for stochastic optimal control problems of forward-backward stochastic difference systems (FBS{\Delta}Ss) where the uncertainty is modeled by a discrete time, finite state process, rather than…

Optimization and Control · Mathematics 2019-07-10 Shailin Ji , Haodong Liu

We study the Pontryagin maximum principle by deriving necessary and sufficient conditions for a class of optimal control problems arising in non exchangeable mean field systems, where agents interact through heterogeneous and asymmetric…

Optimization and Control · Mathematics 2025-06-09 Idris Kharroubi , Samy Mekkaoui , Huyên Pham

It is a longstanding unsolved problem to characterize the optimal feedback controls for general linear quadratic optimal control problem of stochastic evolution equation with random coefficients. A solution to this problem is given in [21]…

Optimization and Control · Mathematics 2022-02-22 Qi Lü , Tianxiao Wang

We propose a probabilistic numerical algorithm to solve Backward Stochastic Differential Equations (BSDEs) with nonnegative jumps, a class of BSDEs introduced in [9] for representing fully nonlinear HJB equations. In particular, this allows…

Probability · Mathematics 2019-07-11 Idris Kharroubi , Nicolas Langrené , Huyên Pham

In this paper, a partially observed stochastic linear Stackelberg differential game with mean-variance criteria is studied. Randomness comes from Brownian motions and Poisson random measures. which leads to a circular dependency. We follow…

Optimization and Control · Mathematics 2026-01-27 Jingtao Lin , Jingtao Shi

This work is devoted to the study of optimal control of stochastic functional differential equations (SFDEs) and its application to mathematical finance. By using the Dynkin formula and solution of the Dirichlet-Poisson problem, the…

Optimization and Control · Mathematics 2014-04-04 Edson A. Coayla-Teran , Anatoly Swishchuk

This paper is concerned with a class of mean-field type coupled forward-backward stochastic differential equations (MF-FBSDEs, for short), in which the coupling appears in integral terms, terminal terms, and initial terms. Inspired by…

Optimization and Control · Mathematics 2022-03-29 Ran Tian , Zhiyong Yu

In this paper, we continue our study on a general time-inconsistent stochastic linear--quadratic (LQ) control problem originally formulated in [6]. We derive a necessary and sufficient condition for equilibrium controls via a flow of…

Portfolio Management · Quantitative Finance 2015-05-27 Ying Hu , Hanqing Jin , Xun Yu Zhou

We study an optimal control problem on infinite time horizon with semimartingale strategies, random coefficients and regime switching. The value function and the optimal strategy can be characterized in terms of three systems of backward…

Optimization and Control · Mathematics 2026-02-27 Xinman Cheng , Guanxing Fu , Xiaonyu Xia

We propose two numerical methods for the optimal control of McKean-Vlasov dynamics in finite time horizon. Both methods are based on the introduction of a suitable loss function defined over the parameters of a neural network. This allows…

Optimization and Control · Mathematics 2021-03-31 René Carmona , Mathieu Laurière

This paper studies a class of mean-field control (MFC) problems with singular controls under general dynamic state-control-law constraints. We first propose a customized relaxed control formulation to cope with the dynamic mixed constraints…

Optimization and Control · Mathematics 2026-04-28 Lijun Bo , Jingfei Wang , Xiang Yu

We consider an infinite horizon discounted optimal control problem for piecewise deterministic Markov processes, where a piecewise open-loop control acts continuously on the jump dynamics and on the deterministic flow. For this class of…

Optimization and Control · Mathematics 2015-12-08 Elena Bandini

In this paper we study stochastic optimal control problems of fully coupled forward-backward stochastic differential equations (FBSDEs). The recursive cost functionals are defined by controlled fully coupled FBSDEs. We study two cases of…

Optimization and Control · Mathematics 2013-02-06 Juan Li , Qingmeng Wei

This paper examines the stochastic maximum principle (SMP) for a forward-backward stochastic control system where the backward state equation is characterized by the backward stochastic differential equation (BSDE) with quadratic growth and…

Optimization and Control · Mathematics 2023-08-22 Shaolin Ji , Rundong Xu

The paper studies a class of quadratic optimal control problems for partially observable linear dynamical systems. In contrast to the full information case, the control is required to be adapted to the filtration generated by the…

Optimization and Control · Mathematics 2022-03-01 Jingrui Sun , Jie Xiong

This paper explores a class of fully coupled nonlinear forward-backward stochastic difference equations (FBS$\Delta$Es). Building on insights from linear quadratic optimal control problems, we introduce a more relaxed framework of…

Optimization and Control · Mathematics 2025-08-01 Zhipeng Niu , Qingxin Meng , Xun Li , Maoning Tang

In this paper, we study the optimal control of a discrete-time stochastic differential equation (SDE) of mean-field type, where the coefficients can depend on both a function of the law and the state of the process. We establish a new…

Optimization and Control · Mathematics 2022-10-05 Arzu Ahmadova , Nazim I. Mahmudov