Publications related to Diffusion Bias-Compensated RLS Estimation Over Adaptive Networks

Calibration of optical tweezers with non-spherical probes via high-resolution detection of Brownian motion

László Forró, Richard Gaal, Flavio Maurizio Mor, Sylvia Jeney

Optical tweezers are commonly used and powerful tools to perform force measurements on the piconewton scale and to detect nanometer-scaled displacements. However, the precision of these instruments relies to a great extent on the accuracy of the calibratio ...

Elsevier Science Bv2015

A New Analytical Model for the Prediction of Stream Temperature in Ungauged Basins

Michael Lehning, Wolf Hendrik Huwald, Bettina Schaefli, Aurélien Gallice

Stream temperature is a hydrological factor which affects the habitat suitability of many aquatic species, and is therefore of great concern in the actual context of climate change. Its prediction in ungauged basins is usually based on statistical approach ...

2015

A New Identity for the Least-square Solution of Overdetermined Set of Linear Equations

Afsaneh Asaei, Mohammadjavad Taghizadeh, Saeid Haghighatshoar

In this paper, we prove a new identity for the least-square solution of an over-determined set of linear equation

Ax=b

, where

A

is an

m\times n

full-rank matrix,

b

is a column-vector of dimension

m

, and

m

(the number of equations) is larger tha ...

2015

A New Identity for the Least-square Solution of Overdetermined Set of Linear Equations

Afsaneh Asaei, Mohammadjavad Taghizadeh, Saeid Haghighatshoar

In this paper, we prove a new identity for the least-square solution of an over-determined set of linear equation

Ax=b

, where

A

is an

m\times n

full-rank matrix,

b

is a column-vector of dimension

m

, and

m

(the number of equations) is larger tha ...

Idiap2015

Design of an H infinity controller for the Delta robot: experimental results

Mohamed Bouri

This paper deals with an efficient implementation of an H multi-variable controller on the three degrees of freedom (DOF) parallel robot namely the Delta robot'. The H controller is designed by the mixed sensitivity approach in which the sensitivity functi ...

Brill Academic Publishers2015

Forecasting Uncertainty in Electricity Demand

Tri Kurniawan Wijaya

Generalized Additive Models (GAM) are a widely popular class of regression models to forecast electricity demand, due to their high accuracy, flexibility and interpretability. However, the residuals of the fitted GAM are typically heteroscedastic and lepto ...

2015

Distributed bounded-error state estimation based on practical robust positive invariance

Giancarlo Ferrari Trecate

We propose a state estimator for linear discrete-time systems composed by coupled subsystems affected by bounded disturbances. The architecture is distributed in the sense that each subsystem is equipped with a local state estimator that exploits suitable ...

2015

Plug-and-play state estimation and application to distributed output-feedback model predictive control

Giancarlo Ferrari Trecate, Marcello Farina

In this paper we propose a novel distributed state estimator for large-scale linear systems composed by subsystems interacting through state variables. The distributed state estimator has the following features: (i) local state estimators, each dedicated t ...

2015

Estimation of Space-Time Varying Parameters Using a Diffusion LMS Algorithm

Ali H. Sayed

We study the problem of distributed adaptive estimation over networks where nodes cooperate to estimate physical parameters that can vary over both space and time domains. We use a set of basis functions to characterize the space-varying nature of the para ...

2014

Multitask Diffusion Adaptation Over Networks

Ali H. Sayed, Jie Chen

Adaptive networks are suitable for decentralized inference tasks. Recent works have intensively studied distributed optimization problems in the case where the nodes have to estimate a single optimum parameter vector collaboratively. However, there are man ...

Institute of Electrical and Electronics Engineers2014

Diffusion Bias-Compensated RLS Estimation Over Adaptive Networks

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Calibration of optical tweezers with non-spherical probes via high-resolution detection of Brownian motion

A New Analytical Model for the Prediction of Stream Temperature in Ungauged Basins

A New Identity for the Least-square Solution of Overdetermined Set of Linear Equations

A New Identity for the Least-square Solution of Overdetermined Set of Linear Equations

Design of an H infinity controller for the Delta robot: experimental results

Forecasting Uncertainty in Electricity Demand

Distributed bounded-error state estimation based on practical robust positive invariance

Plug-and-play state estimation and application to distributed output-feedback model predictive control

Estimation of Space-Time Varying Parameters Using a Diffusion LMS Algorithm

Multitask Diffusion Adaptation Over Networks

Plug-and-play state estimation and application to distributed output-feedback model predictive control

A New Analytical Model for the Prediction of Stream Temperature in Ungauged Basins

Design of an H infinity controller for the Delta robot: experimental results

Calibration of optical tweezers with non-spherical probes via high-resolution detection of Brownian motion

A New Identity for the Least-square Solution of Overdetermined Set of Linear Equations

Forecasting Uncertainty in Electricity Demand

Distributed bounded-error state estimation based on practical robust positive invariance

Multitask Diffusion Adaptation Over Networks

A New Identity for the Least-square Solution of Overdetermined Set of Linear Equations

Estimation of Space-Time Varying Parameters Using a Diffusion LMS Algorithm