Publications related to Ensemble Kalman filter

Radar-rain gauge merging and discharge data assimilation for flood forecasting in Alpine catchments

Floods are responsible for one third of the economic losses induced by natural hazards throughout the world. To better protect the population and infrastructures, flood forecasting systems make us of weather forecasts to foresee floods several days in adva ...

EPFL2019

Set-up and configuraion of an ensemble Kalman filter for an operational flood forecasting system

Giovanni De Cesare, Alain Tommy Foehn, Anne Schwob

To forecast riverine floods, short-range forecasts are normally provided. In such cases the initial hydrological conditions highly influence the predictability of a flood event. The study evaluates the potential of an ensemble Kalman filter (EnKF) for the ...

2019

Application of an Ensemble Kalman filter to a semi-distributed hydrological flood forecasting system in alpine catchments

Giovanni De Cesare, Javier García Hernández, Alain Tommy Foehn, Anne Schwob

One of the key success factor for hydrological forecasts is the establishment of initial conditions that represent well the conditions of the simulated basin at the beginning of the forecast. Real-time Data Assimilation (DA) has been shown to allow improvi ...

2019

General Sensorless Method with Parameter Identification and Double Kalman Filter Applied to a Bistable Fast Linear Switched Reluctance Actuator for Textile Machine

Yves Perriard, Douglas Martins Araujo, Faguy Tamwo Simo

This paper provides a general sensorless method to control the position of a linear actuator. After a review of the solutions used so far, this new method is applied to identify keys passing through a linear actuator used in an industrial textile machine. ...

INST ELECTRICAL ENGINEERS JAPAN2019

Construction of dynamically-dependent stochastic error models

Jan Skaloud, Stéphane Guerrier, Philipp Clausen

Stochastic behavior of an instrument is often analyzed by constructing the Allan (or wavelet) variance signatures from an error signal. For inertial sensors, such a signature is conveniently obtained by recording data at rest. The analysis of this signal w ...

2018

Construction of Dynamically-Dependent Stochastic Error Models

Jan Skaloud, Stéphane Guerrier, Philipp Clausen

Stochastic behavior of an instrument is often analyzed by constructing the Allan (or wavelet) variance signatures from an error signal. For inertial sensors, such a signature is conveniently obtained by recording data at rest. The analysis of this signal w ...

IEEE2018

Construction of dynamically-dependent stochastic error models, 2018 IEEE/ION Position, Location and Navigation Symposium (PLANS)

Jan Skaloud, Stéphane Guerrier, Philipp Clausen

Stochastic behavior of an instrument is often analyzed by constructing the Allan (or wavelet) variance signatures from an error signal. For inertial sensors, such a signature is conveniently obtained by recording data at rest. The analysis of this signal w ...

IEEE ION PLANS2018

An ensemble inverse optimal control approach for robotic task learning and adaptation

Aude Billard, Hang Yin, Ana Paiva

This paper contributes a novel framework to efficiently learn cost-to-go function representations for robotic tasks with latent modes. The proposed approach relies on the principle behind ensemble methods, where improved performance is obtained by aggregat ...

2018

Risk-Based Human-Aware Multi-Robot Coordination in Dynamic Environments Shared with Humans

Alcherio Martinoli, Zeynab Talebpour

In this paper, we propose a risk-based coordination method for the Multi-Robot Task Allocation (MRTA) problem in human-populated environments. We introduce risk-based bids that incorporate human trajectory prediction uncertainties and furthermore, social c ...

IEEE2018

Risk-Based Human-Aware Multi-Robot Coordination in Dynamic Environments Shared with Humans

Alcherio Martinoli, Zeynab Talebpour

In this paper, we propose a risk-based coordination method for the Multi-Robot Task Allocation (MRTA) problem in human-populated environments. We introduce risk-based bids that incorporate human trajectory prediction uncertainties and furthermore, social c ...

2018

Ensemble Kalman filter

Radar-rain gauge merging and discharge data assimilation for flood forecasting in Alpine catchments

Set-up and configuraion of an ensemble Kalman filter for an operational flood forecasting system

Application of an Ensemble Kalman filter to a semi-distributed hydrological flood forecasting system in alpine catchments

General Sensorless Method with Parameter Identification and Double Kalman Filter Applied to a Bistable Fast Linear Switched Reluctance Actuator for Textile Machine

Construction of dynamically-dependent stochastic error models

Construction of Dynamically-Dependent Stochastic Error Models

Construction of dynamically-dependent stochastic error models, 2018 IEEE/ION Position, Location and Navigation Symposium (PLANS)

An ensemble inverse optimal control approach for robotic task learning and adaptation

Risk-Based Human-Aware Multi-Robot Coordination in Dynamic Environments Shared with Humans

Risk-Based Human-Aware Multi-Robot Coordination in Dynamic Environments Shared with Humans

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Radar-rain gauge merging and discharge data assimilation for flood forecasting in Alpine catchments

General Sensorless Method with Parameter Identification and Double Kalman Filter Applied to a Bistable Fast Linear Switched Reluctance Actuator for Textile Machine

An ensemble inverse optimal control approach for robotic task learning and adaptation

Construction of dynamically-dependent stochastic error models

Application of an Ensemble Kalman filter to a semi-distributed hydrological flood forecasting system in alpine catchments

Set-up and configuraion of an ensemble Kalman filter for an operational flood forecasting system

Construction of dynamically-dependent stochastic error models, 2018 IEEE/ION Position, Location and Navigation Symposium (PLANS)

Construction of Dynamically-Dependent Stochastic Error Models

Risk-Based Human-Aware Multi-Robot Coordination in Dynamic Environments Shared with Humans

Risk-Based Human-Aware Multi-Robot Coordination in Dynamic Environments Shared with Humans