Zobrazeno 1 - 10
of 7 083
pro vyhledávání: '"A. Novara"'
Nonlinear Model Predictive Control (NMPC) is a general and flexible control approach, used in many industrial contexts, and is based on the online solution of a nonlinear optimization problem. This operation requires in general a high computational c
Externí odkaz:
http://arxiv.org/abs/2410.19467
This paper presents a tool for multi-step system identification that leverages first-order optimization and exact gradient computation. Drawing inspiration from neural network training and Automatic Differentiation (AD), the proposed method computes
Externí odkaz:
http://arxiv.org/abs/2410.03544
Many scientific problems aim to evaluate the function fo relating variables u and y measured from a physical phenomenon. An exact knowledge of fo cannot be expected, and many methods are used for deriving approximate functions fa giving small error f
Externí odkaz:
http://arxiv.org/abs/2407.06225
Autor:
J.-L. Diehl, N. Peron, R. Chocron, B. Debuc, E. Guerot, C. Hauw-Berlemont, B. Hermann, J. L. Augy, R. Younan, A. Novara, J. Langlais, L. Khider, N. Gendron, G. Goudot, J.-F. Fagon, T. Mirault, D. M. Smadja
Publikováno v:
Annals of Intensive Care, Vol 10, Iss 1, Pp 1-7 (2020)
Abstract Rationale COVID-19 ARDS could differ from typical forms of the syndrome. Objective Pulmonary microvascular injury and thrombosis are increasingly reported as constitutive features of COVID-19 respiratory failure. Our aim was to study pulmona
Externí odkaz:
https://doaj.org/article/7bb3ec0f26184e108e698d367bdbacd9
Autor:
A. Novara, M. Pulido, J. Rodrigo-Comino, S. Di Prima, P. Smith, L. Gristina, A. Gimenez-Morera, E. Terol, D. Salesa, S. Keesstra
Publikováno v:
Cuadernos de Investigación Geográfica, Vol 45, Iss 1, Pp 271-286 (2019)
It has been shown that soil management under organic farming can enhance soil organic carbon, thereby mitigating atmospheric greenhouse gas increases, but until now quantitative evaluations based on long term experiments are scarce, especially under
Externí odkaz:
https://doaj.org/article/0a8d8ca5659443c4b7abf34a38ec156f
In this paper, we propose a unified framework for identifying interpretable nonlinear dynamical models that preserve physical properties. The proposed approach integrates physical principles with black-box basis functions to compensate for unmodeled
Externí odkaz:
http://arxiv.org/abs/2405.18186
Autor:
Pagone, Michele, Novara, Carlo
This document briefly describes the noise models and shapes used for the synthesis of the Drag-Free and Attitude Control System in the LISA space mission. LISA (Laser Interferometer Space Antenna) is one of the next large-class missions from the Euro
Externí odkaz:
http://arxiv.org/abs/2405.02339
The aim of this paper is to present a novel physics-based framework for the identification of dynamical systems, in which the physical and structural insights are reflected directly into a backpropagation-based learning algorithm. The main result is
Externí odkaz:
http://arxiv.org/abs/2310.20567
We propose a Nonlinear Model Predictive Control approach to spacecraft rendezvous in non-Keplerian Lunar orbits. The approach is based on the Pontryagin Minimum Principle and allows the accomplishment of minimum-propellant maneuvers. The relative mot
Externí odkaz:
http://arxiv.org/abs/2309.05453
Publikováno v:
Solid Earth, Vol 6, Iss 2, Pp 425-432 (2015)
The mechanisms of litter decomposition, translocation and stabilization into soil layers are fundamental processes in the functioning of the ecosystem, as they regulate the cycle of soil organic matter (SOM) and CO2 emission into the atmosphere. In t
Externí odkaz:
https://doaj.org/article/e82be3d947ca4d078e1e705184e1e054