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相关论文: On the Properties of the Value Function Associated…

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In this article, we investigate some of the fine properties of the value function associated to an optimal control problem in the Wasserstein space of probability measures. Building on new interpolation and linearisation formulas for…

最优化与控制 · 数学 2021-11-29 Benoît Bonnet , Hélène Frankowska

We consider the control problem with \textit{exit time}. Unlike the Bolza and Mayer problems, in this problem the terminal time of the trajectories is not fixed, but it is the first time at which they reach a given closed subset -…

最优化与控制 · 数学 2017-05-10 Luong V. Nguyen

In this paper we study the value function of Bolza problems governed by stochastic difference equations, with particular emphasis on the convex non-anticipative case. Our goal is to provide some insights on the structure of the…

最优化与控制 · 数学 2026-01-09 Sebastián Álvarez , Julio Deride , Cristopher Hermosilla

This paper investigates the value function, $V$, of a Mayer optimal control problem with the state equation given by a differential inclusion. First, we obtain an invariance property for the proximal and Fr\'echet subdifferentials of $V$…

最优化与控制 · 数学 2014-08-25 Piermarco Cannarsa , Hélène Frankowska , Teresa Scarinci

We study the optimal control of mean-field systems with heterogeneous and asymmetric interactions. This leads to considering a family of controlled Brownian diffusion processes with dynamics depending on the whole collection of marginal…

概率论 · 数学 2024-07-29 Anna De Crescenzo , Marco Fuhrman , Idris Kharroubi , Huyên Pham

We study the optimal value function for control problems on Banach spaces that involve both continuous and discrete control decisions. For problems involving semilinear dynamics subject to mixed control inequality constraints, one can show…

最优化与控制 · 数学 2017-01-11 Martin Gugat , Falk M. Hante

Along the optimal trajectory of an optimal control problem constrained by a semilinear parabolic partial differential equation, we prove the differentiability of the value function with respect to the initial condition and, under additional…

最优化与控制 · 数学 2025-09-19 Alberto Domínguez Corella , Nicolai Jork , Stefan Volkwein

We study risk-sensitive optimal control of a stochastic differential equation (SDE) of mean-field type, where the coefficients are allowed to depend on some functional of the law as well as the state and control processes. Moreover the…

最优化与控制 · 数学 2017-02-07 Alain Bensoussan , Boualem Djehiche , Hamidou Tembine , Phillip Yam

In this paper we investigate how the subgradients of the value function of a discrete-time convex Bolza problem evolve over time. In particular, we develop a discrete-time version of the characteristic method introduced by Rockafellar and…

最优化与控制 · 数学 2024-02-02 Julio Deride , Cristopher Hermosilla , Mattia Solla

In this paper, a characterization of the solution of impulse control problems in terms of superharmonic functions is given. In a general Markovian framework, the value function of the impulse control problem is shown to be the minimal…

概率论 · 数学 2013-10-17 Sören Christensen

We deal with the convergence of the value function of an approximate control problem with uncertain dynamics to the value function of a nonlinear optimal control problem. The assumptions on the dynamics and the costs are rather general and…

最优化与控制 · 数学 2021-05-31 Andrea Pesare , Michele Palladino , Maurizio Falcone

We study an optimal control problem of generalized mean-field dynamics with open-loop controls, where the coefficients depend not only on the state processes and controls, but also on the joint law of them. The value function $V$ defined in…

最优化与控制 · 数学 2024-08-16 Rainer Buckdahn , Juan Li , Zhanxin Li

We investigate conditions of optimality for an infinite horizon control problem and consider their correspondence with the value function. Assuming Lipschitz continuity of the value function, we prove that sensitivity relations plus the…

最优化与控制 · 数学 2016-07-20 Dmitry Khlopin

In this paper, we study the maximum principle of mean field type control problems when the volatility function depends on the state and its measure and also the control, by using our recently developed method. Our method is to embed the…

最优化与控制 · 数学 2023-09-14 Alain Bensoussan , Ziyu Huang , Sheung Chi Phillip Yam

The goal of this work is to obtain optimal rates for the convergence problem in mean field control. Our analysis covers cases where the solutions to the limiting problem may not be unique nor stable. Equivalently the value function of the…

最优化与控制 · 数学 2023-05-16 Samuel Daudin , François Delarue , Joe Jackson

We consider stochastic impulse control problems where the process is driven by a general one-dimensional diffusion. We shall show a new mathematical characterization of the value function as a linear function in a certain transformed space.…

最优化与控制 · 数学 2007-05-23 Masahiko Egami

This article is concerned with stochastic control problems for backward doubly stochastic differential equations of mean-field type, where the coefficient functions depend on the joint distribution of the state process and the control…

概率论 · 数学 2022-05-26 Jian Song , Meng Wang

We establish an algebraic rate of convergence in the large number of players limit of the value functions of N-particle stochastic control problems towards the value function of the corresponding McKean-Vlasov problem also known as mean…

最优化与控制 · 数学 2023-01-09 Pierre Cardaliaguet , Samuel Daudin , Joe Jackson , Panagiotis Souganidis

This paper investigates general and generalized differentiation properties of the optimal value function associated with perturbed optimization problems. Fundamental results on nearly convex sets and functions in infinite-dimensional spaces…

最优化与控制 · 数学 2025-10-24 V. S. T. Long , B. S. Mordukhovich , N. M. Nam , L. White

In this paper, we investigate a sparse optimal control of continuous-time stochastic systems. We adopt the dynamic programming approach and analyze the optimal control via the value function. Due to the non-smoothness of the $L^0$ cost…

最优化与控制 · 数学 2021-09-17 Kaito Ito , Takuya Ikeda , Kenji Kashima
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