Concept

Stochastique

Publications associées (240)

An observation-based stochastic model for sediment and vegetation dynamics in the floodplain of an Alpine braided river

Riparian vegetation dynamics in Alpine rivers are to a large extent driven by the timing and magnitude of floods which inundate the floodplain, transport sediment, erode the river bed, and create and destroy suitable germination sites. Here we present a st ...

American Geophysical Union2009

UFO: Uncertainty Feature Optimization, an Implicit Paradigm for Problems with Noisy Data

Michel Bierlaire, Matteo Salani, Niklaus Eggenberg

Optimization problems due to noisy data solved using stochastic programming or robust optimization approaches require the explicit characterization of an uncertainty set U that models the nature of the noise. Such approaches depend on the modeling of the u ...

2009

Optimal energy conversion system design under uncertain parameters

François Maréchal

The aim of this project is to integrate uncertainty analysis in a thermo-economic optimization framework to be used as decision making support in the design of energy systems.Tree comprehensive thermo-economic models of fuel cells systems have been develop ...

2009

A model for spatially embedded social networks

Gunnar Flötteröd

This paper presents a stochastic model for spatially embedded social networks based on the ideas of spatial interaction models. Analysing empirical data, we find that the probability to accept a social contact at a certain distance follows a power law with ...

2009

Optimization design of a linear actuator using a genetic algorithm

Yves Perriard, Miroslav Markovic, Joël Maridor

This paper presents a method to optimize two linear actuator configurations. The method is stochastic and combines a genetic algorithm (GA) and FEM (finite element method) model generated with the commercial software FEMM. The optimization is performed in ...

2009

A Stochastic Translation Algorithm: The View Of The Ribosome

Olivier Burri

This work deals with the creation of a stochastic translation algorithm capable of encompassing the reactions for translation initiation, elongation and termination in a unified framework based on Gillespie's algorithm. By looking at reactions from the poi ...

2009

Real-time compensation of hysteresis in piezoelectric-stack actuator tracking a stochastic reference

Denis Gillet, Philippe Müllhaupt, Yvan Michellod

This paper presents a convenient way to invert the classical Preisach model to compensate the hysteresis of a piezoelectric stack actuator in real-time. The advantage of the proposed method lies in the possibility to track a stochastic signal and compensat ...

2008

Iterative Learning Control based on Stochastic Approximation

Alireza Karimi, Roland Longchamp, Mark Edward John Butcher

In this paper stochastic approximation theory is used to produce Iterative Learning Control algorithms which are less sensitive to stochastic disturbances, a typical problem for the learning process of standard ILC algorithms. Two algorithms are developed, ...

2008

Computational Probability for Systems Biology

Stochastic models of biological networks properly take the randomness of molecular dynamics in living cells into account. Numerical solution approaches inspired by computational methods from applied probability can efficiently yield accurate results and ha ...

Springer2008

Stochastic Modeling and Control of Biological Systems: The Lactose Regulation System of Escherichia coli

Mahmut Selman Sakar

In this paper, we present a comprehensive framework for stochastic modeling, model abstraction, and controller design for a biological system. The first half of the paper concerns modeling and model abstraction of the system. Most models in systems biology ...

Institute of Electrical and Electronics Engineers2008

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