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pro vyhledávání: '"Morgenthaler, Valéry"'
Identifying dynamical systems from experimental data is a notably difficult task. Prior knowledge generally helps, but the extent of this knowledge varies with the application, and customized models are often needed. Neural ordinary differential equa
Externí odkaz:
http://arxiv.org/abs/2205.12550
This paper presents a first step towards tuning observers for general nonlinear systems. Relying on recent results around Kazantzis-Kravaris/Luenberger (KKL) observers, we propose an empirical criterion to guide the calibration of the observer, by tr
Externí odkaz:
http://arxiv.org/abs/2204.00318
Autor:
Martínez, Antonio, Hoeijmakers, Martijn, Geronzi, Leonardo, Morgenthaler, Valery, Tomasi, Jacques, Rochette, Michel, Biancolini, Marco E.
Publikováno v:
In Computers in Biology and Medicine December 2023 167
Publikováno v:
In IFAC PapersOnLine 2023 56(2):4061-4067
Autor:
da Costa Ramos, Louise, Figueira Da Silva, Luís Fernando, Di Meglio, Florent, Morgenthaler, Valéry
The study of combustion-thermoacoustic instabilities is a topic of interest in the development of engines. However, the modeling of these systems involves a high computational burden. This paper focuses on a simpler class of systems that still featur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::23269b6316cf431999f4d611dd31d57e
https://hal.archives-ouvertes.fr/hal-03322442/file/Modeling-of-Pulsating-Inverted-Conical-Flames-a-Numerical.pdf
https://hal.archives-ouvertes.fr/hal-03322442/file/Modeling-of-Pulsating-Inverted-Conical-Flames-a-Numerical.pdf
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