Dynamic Programming Principle and Hamilton-Jacobi-Bellman Equation for Optimal Control Problems with Uncertainty

Fuente: arXiv
Enregistré dans:
Détails bibliographiques
Auteurs principaux: Aronna, M. Soledad, Palladino, Michele, Sierra, Oscar
Format: Preprint
Publié: 2024
Sujets:
Accès en ligne:
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
_version_ 1866929425425104896
author Aronna, M. Soledad
Palladino, Michele
Sierra, Oscar
author_facet Aronna, M. Soledad
Palladino, Michele
Sierra, Oscar
contents We study the properties of the value function associated with an optimal control problem with uncertainties, known as average or Riemann-Stieltjes problem. Uncertainties are assumed to belong to a compact metric probability space, and appear in the dynamics, in the terminal cost and in the initial condition, which yield an infinite-dimensional formulation. By stating the problem as an evolution equation in a Hilbert space, we show that the value function is the unique lower semi-continuous proximal solution of the Hamilton-Jacobi-Bellman (HJB) equation. Our approach relies on invariance properties and the dynamic programming principle.
format Preprint
id arxiv_https___arxiv_org_abs_2407_13045
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Dynamic Programming Principle and Hamilton-Jacobi-Bellman Equation for Optimal Control Problems with Uncertainty
Aronna, M. Soledad
Palladino, Michele
Sierra, Oscar
Optimization and Control
35F21, 49K45, 49K27, 49L25
We study the properties of the value function associated with an optimal control problem with uncertainties, known as average or Riemann-Stieltjes problem. Uncertainties are assumed to belong to a compact metric probability space, and appear in the dynamics, in the terminal cost and in the initial condition, which yield an infinite-dimensional formulation. By stating the problem as an evolution equation in a Hilbert space, we show that the value function is the unique lower semi-continuous proximal solution of the Hamilton-Jacobi-Bellman (HJB) equation. Our approach relies on invariance properties and the dynamic programming principle.
title Dynamic Programming Principle and Hamilton-Jacobi-Bellman Equation for Optimal Control Problems with Uncertainty
topic Optimization and Control
35F21, 49K45, 49K27, 49L25
url https://arxiv.org/abs/2407.13045