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Linearization techniques for $\mathbb{L}^{\infty}$-control problems and dynamic programming principles in classical and $\mathbb{L}^{\infty}$-control problems

Authors :
Dan Goreac
Oana Silvia Serea
PS
Laboratoire d'Analyse et de Mathématiques Appliquées (LAMA)
Université Paris-Est Marne-la-Vallée (UPEM)-Fédération de Recherche Bézout-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS)-Université Paris-Est Marne-la-Vallée (UPEM)-Fédération de Recherche Bézout-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS)
LAboratoire de Modélisation Pluridisciplinaire et Simulations (LAMPS)
Université de Perpignan Via Domitia (UPVD)
LAboratoire de Mathématiques et PhySique (LAMPS)
Centre National de la Recherche Scientifique (CNRS)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Fédération de Recherche Bézout-Université Paris-Est Marne-la-Vallée (UPEM)-Centre National de la Recherche Scientifique (CNRS)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Fédération de Recherche Bézout-Université Paris-Est Marne-la-Vallée (UPEM)
Source :
ESAIM: Control, Optimisation and Calculus of Variations, ESAIM: Control, Optimisation and Calculus of Variations, EDP Sciences, 2012, 18 (3), pp.836-855. ⟨10.1051/cocv/2011183⟩
Publication Year :
2012
Publisher :
HAL CCSD, 2012.

Abstract

International audience; The aim of the paper is to provide a linearization approach to the $\mathbb{L}^{\infty}$-control problems. We begin by proving a semigroup-type behaviour of the set of constraints appearing in the linearized formulation of (standard) control problems. As a byproduct we obtain a linear formulation of the dynamic programming principle. Then, we use the $\mathbb{L}^{p}$ approach and the associated linear formulations. This seems to be the most appropriate tool for treating $\mathbb{L}^{\infty}$ problems in continuous and lower semicontinuous setting.

Details

Language :
English
ISSN :
12928119 and 12623377
Database :
OpenAIRE
Journal :
ESAIM: Control, Optimisation and Calculus of Variations, ESAIM: Control, Optimisation and Calculus of Variations, EDP Sciences, 2012, 18 (3), pp.836-855. ⟨10.1051/cocv/2011183⟩
Accession number :
edsair.doi.dedup.....f5247df143dc903d8f90230e1b38aa6e
Full Text :
https://doi.org/10.1051/cocv/2011183⟩