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Publications associées (27)

On decoupling rate processes in chemical reaction systems - Methods and applications

Dominique Bonvin, Julien Léo Billeter, Michael Amrhein, Diogo Filipe Mateus Rodrigues

Models of chemical reaction systems can be complex as they need to include information regarding the reactions and the mass and heat transfers. The commonly used state variables, namely, concentrations and temperatures, express the interplay between many p ...

2018

Decisions under Binary Messaging over Adaptive Networks

Ali H. Sayed

We consider an adaptive network made of interconnected agents engaged in a binary decision task. It is assumed that the agents cannot deliver full-precision messages to their neighbors, but only binary messages. For this scenario, a modified version of the ...

IEEE COMPUTER SOC2018

Analog RF and mm-Wave Design Tradeoff in UTBB FDSOI: Application to a 35 GHz LNA

Jean-Michel Sallese, Wladyslaw Grabinski, Christophe Lallement

The state-of-the art RF and millimeter-wave first-cut circuits design requires simple hand calculation methods to avoid time-consuming iterative simulations. The classical MOSFET sizing methods used in advanced technologies, still rely on questionable and ...

IEEE2018

Coordinated Optimization and Control for Smart Grids

Altug Bitlislioglu

In this thesis, we consider commercial buildings with available heating, ventilation and air conditioning (HVAC) systems, and develop methods to assess and exploit their energy storage and production potential to collectively offer ancillary services to th ...

EPFL2018

Identification of a Predator-Prey System from Simulation Data of a Convection Model

Jan Sickmann Hesthaven

The use of low-dimensional dynamical systems as reduced models for plasma dynamics is useful as solving an initial value problem requires much less computational resources than fluid simulations. We utilize a data-driven modeling approach to identify a red ...

American Institute of Physics2017

Optical Tomography Based On A Nonlinear Model That Handles Multiple Scattering

Michaël Unser, Demetri Psaltis, Ulugbek Kamilov, Alexandre Goy, Joowon Lim

Learning Tomography (LT) is a nonlinear optimization algorithm for computationally imaging three-dimensional (3D) distribution of the refractive index in semi-transparent samples. Since the energy function in LT is generally non-convex, the solution it obt ...

Ieee2017

Exergy assessment of future energy transition scenarios with application to Switzerland

François Maréchal, Daniel Favrat, François Richard Vuille, Victor Codina Gironès, Matteo Allais

Using an exergy based indicator is highly desirable to compare future national energy strategies. A new web- based information platform called energyscope.ch, informing the general public on the Swiss energy transition was presented at ECOS2016. This paper ...

2017

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