Pontryagin principles for bounded discrete-time processes

Authors :: Joël Blot
Ferhan Pekergin
Naïla Hayek
Nihal Pekergin
Statistique, Analyse et Modélisation Multidisciplinaire (SAmos-Marin Mersenne) (SAMM)
Université Paris 1 Panthéon-Sorbonne (UP1)
Marin Mersenne - Pour les Mathématiques, l'Informatique et l'Interdisciplinarité
Laboratoire d'Informatique de Paris-Nord (LIPN)
Université Sorbonne Paris Cité (USPC)-Institut Galilée-Université Paris 13 (UP13)-Centre National de la Recherche Scientifique (CNRS)
Laboratoire d'Algorithmique Complexité et Logique (LACL)
Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)
SAMM - Statistique, Analyse et Modélisation Multidisciplinaire (SAmos-Marin Mersenne) (SAMM)
Source :: Optimization, Optimization, Taylor & Francis, 2013, pp.1-16. ⟨10.1080/02331934.2013.766991⟩
Publication Year :: 2013
Publisher :: HAL CCSD, 2013.
Abstract: We establish necessary conditions and sufficient conditions of optimality in the form of Pontryagin principles for infinite-horizon discrete-time optimal control problems governed by a difference inequation.

Subjects :: Mathematical optimization
021103 operations research
Control and Optimization
Applied Mathematics
010102 general mathematics
0211 other engineering and technologies
02 engineering and technology
Management Science and Operations Research
Optimal control
01 natural sciences
Pontryagin's minimum principle
Inequation
Discrete time and continuous time
Bounded function
[INFO.INFO-SY]Computer Science [cs]/Systems and Control [cs.SY]
0101 mathematics
Hamiltonian (control theory)
ComputingMilieux_MISCELLANEOUS
Mathematics

Language :: English
ISSN :: 02331934 and 10294945
Database :: OpenAIRE
Journal :: Optimization, Optimization, Taylor & Francis, 2013, pp.1-16. ⟨10.1080/02331934.2013.766991⟩
Accession number :: edsair.doi.dedup.....40f87053a0c71d83a0bd7fa68bfb8736

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