List of works - Raquel Caballero-Aguila

A New Estimation Algorithm from Measurements with Multiple-Step Random Delays and Packet Dropouts

article by R. Caballero-Águila et al published 2010 in Mathematical Problems in Engineering

A Two-Phase Distributed Filtering Algorithm for Networked Uncertain Systems with Fading Measurements under Deception Attacks

scientific article published on 11 November 2020

An innovation approach to the smoothing problem from uncertain observations with correlated signal and noise

article

Centralized Fusion Approach to the Estimation Problem with Multi-Packet Processing under Uncertainty in Outputs and Transmissions

article

Covariance-Based Estimation for Clustered Sensor Networks Subject to Random Deception Attacks

scientific article published on 14 July 2019

Covariance-Based Estimation from Multisensor Delayed Measurements with Random Parameter Matrices and Correlated Noises

Covariance-based estimation algorithms in networked systems with mixed uncertainties in the observations

scholarly article by R. Caballero-Águila et al published January 2014 in Signal Processing

Covariance-based fusion filtering for networked systems with random transmission delays and non-consecutive losses

article

Design of recursive Wiener fixed-point smoothers based on innovations approach in linear discrete-time stochastic systems

article

Distributed Fusion Filtering in Networked Systems with Random Measurement Matrices and Correlated Noises

Distributed estimation based on covariances under network-induced phenomena described by random measurement matrices

article by R. Caballero-Águila et al published 2 May 2016 in International Journal of General Systems

Distributed fusion estimation from measurements with correlated random parameter matrices and noise correlation

Distributed fusion filtering for uncertain systems with coupled noises, random delays and packet loss prediction compensation

scientific article published on 3 October 2022

Estimation in Linear Systems Featuring Correlated Uncertain Observations Coming from Multiple Sensors

Fixed-interval smoothing algorithm based on covariances with correlation in the uncertainty

Fixed-point smoothing with non-independent uncertainty using covariance information

Least-Squares Filtering Algorithm in Sensor Networks with Noise Correlation and Multiple Random Failures in Transmission

article

Least-squares Polynomial Estimation from Observations Featuring Correlated Random Delays

article by R. Caballero-Águila et al published 10 January 2009 in Methodology and Computing in Applied Probability

Least-squares linear estimators using measurements transmitted by different sensors with packet dropouts

scholarly article by R. Caballero-Águila et al published December 2012 in Digital Signal Processing

Least-squares linear filtering using observations coming from multiple sensors with one- or two-step random delay

article by Josefa Linares-Pérez et al published October 2009 in Signal Processing

Least-squares νth-order polynomial estimation of signals from observations affected by non-independent uncertainty

article by S. Nakamori et al published May 2006 in Applied Mathematics and Computation

Linear and quadratic estimation using uncertain observations from multiple sensors with correlated uncertainty

Linear estimation based on covariances for networked systems featuring sensor correlated random delays

Linear estimation from uncertain observations with white plus coloured noises using covariance information

article by S. Nakamori et al published July 2003 in Digital Signal Processing

Linear recursive discrete-time estimators using covariance information under uncertain observations

Networked Fusion Filtering from Outputs with Stochastic Uncertainties and Correlated Random Transmission Delays

scientific article published on 8 June 2016

New design of estimators using covariance information with uncertain observations in linear discrete-time systems

New filtering algorithm using observations with one or two-step random delay

scholarly article published June 2007

New recursive estimators from correlated interrupted observations using covariance information

Optimal Fusion Estimation with Multi-Step Random Delays and Losses in Transmission

scientific article published on 18 May 2017

Optimal Fusion Filtering in Multisensor Stochastic Systems with Missing Measurements and Correlated Noises

Optimal linear filter design for systems with correlation in the measurement matrices and noises: recursive algorithm and applications

Optimal state estimation for networked systems with random parameter matrices, correlated noises and delayed measurements

Polynomial fixed-point smoothing of uncertainly observed signals based on covariances

Quadratic estimation for stochastic systems in the presence of random parameter matrices, time-correlated additive noise and deception attacks

scientific article published in October 2023

Quadratic estimation from uncertain observations with white plus coloured noises using covariance information

article by S. Nakamori et al published July 2004 in Applied Mathematics and Computation

RLS Wiener estimators from observations with multiple and random delays in linear discrete-time stochastic systems

Recursive estimation of discrete-time signals from nonlinear randomly delayed observations

Recursive estimators of signals from measurements with stochastic delays using covariance information

Recursive fixed-point smoothing algorithm from covariances based on uncertain observations with correlation in the uncertainty

Recursive least-squares quadratic smoothing from measurements with packet dropouts

scholarly article by R. Caballero-Águila et al published April 2012 in Signal Processing

Second-order polynomial estimators from uncertain observations using covariance information

article by S Nakamori et al published November 2003 in Applied Mathematics and Computation

List of works by Raquel Caballero-Aguila

A New Estimation Algorithm from Measurements with Multiple-Step Random Delays and Packet Dropouts

A Two-Phase Distributed Filtering Algorithm for Networked Uncertain Systems with Fading Measurements under Deception Attacks

An innovation approach to the smoothing problem from uncertain observations with correlated signal and noise

Centralized Fusion Approach to the Estimation Problem with Multi-Packet Processing under Uncertainty in Outputs and Transmissions

Covariance-Based Estimation for Clustered Sensor Networks Subject to Random Deception Attacks

Covariance-Based Estimation from Multisensor Delayed Measurements with Random Parameter Matrices and Correlated Noises

Covariance-based estimation algorithms in networked systems with mixed uncertainties in the observations

Covariance-based fusion filtering for networked systems with random transmission delays and non-consecutive losses

Design of recursive Wiener fixed-point smoothers based on innovations approach in linear discrete-time stochastic systems

Distributed Fusion Filtering in Networked Systems with Random Measurement Matrices and Correlated Noises

Distributed estimation based on covariances under network-induced phenomena described by random measurement matrices

Distributed fusion estimation from measurements with correlated random parameter matrices and noise correlation

Distributed fusion filtering for uncertain systems with coupled noises, random delays and packet loss prediction compensation

Estimation in Linear Systems Featuring Correlated Uncertain Observations Coming from Multiple Sensors

Fixed-interval smoothing algorithm based on covariances with correlation in the uncertainty

Fixed-point smoothing with non-independent uncertainty using covariance information

Least-Squares Filtering Algorithm in Sensor Networks with Noise Correlation and Multiple Random Failures in Transmission

Least-squares Polynomial Estimation from Observations Featuring Correlated Random Delays

Least-squares linear estimators using measurements transmitted by different sensors with packet dropouts

Least-squares linear filtering using observations coming from multiple sensors with one- or two-step random delay

Least-squares νth-order polynomial estimation of signals from observations affected by non-independent uncertainty

Linear and quadratic estimation using uncertain observations from multiple sensors with correlated uncertainty

Linear estimation based on covariances for networked systems featuring sensor correlated random delays

Linear estimation from uncertain observations with white plus coloured noises using covariance information

Linear recursive discrete-time estimators using covariance information under uncertain observations

Networked Fusion Filtering from Outputs with Stochastic Uncertainties and Correlated Random Transmission Delays

New design of estimators using covariance information with uncertain observations in linear discrete-time systems

New filtering algorithm using observations with one or two-step random delay

New recursive estimators from correlated interrupted observations using covariance information

Optimal Fusion Estimation with Multi-Step Random Delays and Losses in Transmission

Optimal Fusion Filtering in Multisensor Stochastic Systems with Missing Measurements and Correlated Noises

Optimal linear filter design for systems with correlation in the measurement matrices and noises: recursive algorithm and applications

Optimal state estimation for networked systems with random parameter matrices, correlated noises and delayed measurements

Polynomial fixed-point smoothing of uncertainly observed signals based on covariances

Quadratic estimation for stochastic systems in the presence of random parameter matrices, time-correlated additive noise and deception attacks

Quadratic estimation from uncertain observations with white plus coloured noises using covariance information

RLS Wiener estimators from observations with multiple and random delays in linear discrete-time stochastic systems

Recursive estimation of discrete-time signals from nonlinear randomly delayed observations

Recursive estimators of signals from measurements with stochastic delays using covariance information

Recursive fixed-point smoothing algorithm from covariances based on uncertain observations with correlation in the uncertainty

Recursive least-squares quadratic smoothing from measurements with packet dropouts

Second-order polynomial estimators from uncertain observations using covariance information

Signal estimation based on covariance information from observations featuring correlated uncertainty and coming from multiple sensors

Signal estimation from uncertain observations coming from multiple sensors

Signal estimation with multiple delayed sensors using covariance information

Signal estimation with nonlinear uncertain observations using covariance information

Signal polynomial smoothing from correlated interrupted observations based on covariances