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In this paper we consider the optimal control of Hilbert space-valued infinite-dimensional Piecewise Deterministic Markov Processes (PDMP) and we prove that the corresponding value function can be represented via a Feynman-Kac type formula…

Optimization and Control · Mathematics 2019-06-07 Elena Bandini , Michele Thieullen

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

In this work, we will investigate the question of optimal control for bilinear systems with constrained endpoint. The optimal control will be characterized through a set of unconstrained minimization problems that approximate the former.…

Optimization and Control · Mathematics 2021-07-28 Soufiane Yahyaoui , Lahoussine Lafhim , Mohamed Ouzahra

This paper considers the problem of finite dimensional output feedback H-infinity control for a class of nonlinear spatially distributed processes (SDPs) described by highly dissipative partial differential equations (PDEs), whose state is…

Systems and Control · Computer Science 2015-03-31 Huai-Ning Wu , Hong-Du Wang

This paper extends our previous work to continuous-time optimal stopping, focusing on American options in an exploratory setting. Our first contribution is an entropy-regularized penalization scheme, inspired by classical penalization…

Mathematical Finance · Quantitative Finance 2026-03-04 Daniel Chee , Noufel Frikha , Libo Li

In this work, we investigate the multidimensional Skorokhod problem for c\`adl\`ag processes, where the reflection is subject to a minimality condition depending on the law of the solution. We then apply these results to establish existence…

Probability · Mathematics 2025-12-24 Imane Jarni , Ayoub Laayoun , Badr Missaoui

We study backward stochastic differential equations (BSDEs) in infinite horizon and design efficient numerical schemes for solving them. We establish a probabilistic representation of the solution of the BSDE using Malliavin derivative and…

Probability · Mathematics 2026-04-28 Emmanuel Gobet , Adrien Richou , Charu Shardul

This article deals with the existence and the uniqueness of solutions to quadratic and superquadratic Markovian backward stochastic differential equations (BSDEs for short) with an unbounded terminal condition. Our results are deeply linked…

Probability · Mathematics 2012-04-27 Adrien Richou

We introduce a novel class of semilinear nonlocal backward stochastic partial differential equations (BSPDE) on half-spaces driven by an infinite-dimensional c\`adl\`ag martingale. The equations exhibit a degeneracy and have no explicit…

Probability · Mathematics 2023-12-22 Ben Hambly , Philipp Jettkant

This paper examines impulsive controls related to nonautonomous impulsive integro-differential equations in Hilbert space, highlighting their significance. We establish the existence of the mild solution by using fixed point approach and…

Optimization and Control · Mathematics 2024-12-03 Garima Gupta , Jaydev Dabas

We provide a probabilistic solution of a not necessarily Markovian control problem with a state constraint by means of a Backward Stochastic Differential Equation (BSDE). The novelty of our solution approach is that the BSDE possesses a…

Optimization and Control · Mathematics 2013-06-04 Stefan Ankirchner , Monique Jeanblanc , Thomas Kruse

In the present work we employ, for the first time, backward stochastic differential equations (BSDEs) to study the optimal control of semi-Markov processes on finite horizon, with general state and action spaces. More precisely, we prove…

Optimization and Control · Mathematics 2015-05-27 Elena Bandini , Fulvia Confortola

Mathematical mean-field approaches have been used in many fields, not only in Physics and Chemistry, but also recently in Finance, Economics, and Game Theory. In this paper we will study a new special mean-field problem in a purely…

Probability · Mathematics 2012-10-03 Juan Li

In this paper, we introduce a new type of backward stochastic differential equations (BSDEs) with infinite anticipation, where the generator depends on the entire future values of the solution in infinite horizon. We show that the new BSDEs…

Probability · Mathematics 2025-11-20 Guanwei Cheng , Shuzhen Yang

We first introduce the concept of $\mathscr{Y}^{g,\xi}$-submartingale systems, where the nonlinear operator $\mathscr{Y}^{g,\xi}$ corresponds to the first component of the solution of a reflected BSDE with generator $g$ and lower obstacle…

Optimization and Control · Mathematics 2023-05-26 Roxana Dumitrescu , Romuald Elie , Wissal Sabbagh , Chao Zhou

We prove the existence of maximal (and minimal) solution for one-dimensional generalized doubly reflected backward stochastic differential equation (RBSDE for short) with irregular barriers and stochastic quadratic growth, for which the…

Probability · Mathematics 2023-08-24 E. H. Essaky , M. Hassani , C. Rhazlane

We present an explicit solution to the discrete-time Bellman equation for minimax optimal control of positive systems under unconstrained disturbances. The primary contribution of our result relies on deducing a bound for the disturbance…

Optimization and Control · Mathematics 2025-08-06 Alba Gurpegui , Emma Tegling , Anders Rantzer

In this paper, we introduce a specific kind of doubly reflected Backward Stochastic Differential Equations (in short DRBSDEs), defined on probability spaces equipped with general filtration that is essentially non quasi-left continuous,…

Probability · Mathematics 2023-03-31 Ihsan Arharas , Siham Bouhadou , Youssef Ouknine

We study the large time behaviour of mild solutions of HJB equations in infinite dimension by a purely probabilistic approach. For that purpose, we show that the solution of a BSDE in finite horizon $T$ taken at initial time behaves like a…

Probability · Mathematics 2015-01-16 Ying Hu , Pierre-Yves Madec , Adrien Richou

We develop a theory of optimal stopping problems under G-expectation framework. We first define a new kind of random times, called G-stopping times, which is suitable for this problem. For the discrete time case with finite horizon, the…

Probability · Mathematics 2018-12-21 Hanwu Li