Geometric and Numerical Optimal Control - Application to Swimming at Low Reynolds Number and Magnetic Resonance Imaging - Inria - Institut national de recherche en sciences et technologies du numérique
Ouvrage (Y Compris Édition Critique Et Traduction) Année : 2018

Geometric and Numerical Optimal Control - Application to Swimming at Low Reynolds Number and Magnetic Resonance Imaging

Résumé

This series of notes have their origin into accelerated course in optimal control given to multidisciplinary Phd students in Mathematics, Physics or Control Engineering and the purpose is to present the seminal results of this theory in view of applications to concrete problems. For that we choose to make the presentation using two real life applications which are the core of current research projects on the academic side and motivated by industrial applications. The two applications concern the swimming at low Reynolds number and the contrast problem in Magnetic resonance Imaging.
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Dates et versions

hal-01226734 , version 1 (10-11-2015)
hal-01226734 , version 2 (11-03-2016)
hal-01226734 , version 3 (23-07-2017)
hal-01226734 , version 4 (28-11-2017)
hal-01226734 , version 5 (02-01-2018)
hal-01226734 , version 6 (27-04-2018)
hal-01226734 , version 7 (30-06-2018)
hal-01226734 , version 8 (07-08-2018)

Identifiants

Citer

Bernard Bonnard, Monique Chyba, Jérémy Rouot. Geometric and Numerical Optimal Control - Application to Swimming at Low Reynolds Number and Magnetic Resonance Imaging. Springer International Publishing, XII-99 p., In press, SpringerBriefs in Mathematics, 978-3-319-94790-7. ⟨10.1007/978-3-319-94791-4⟩. ⟨hal-01226734v7⟩
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