Raquel Caballero-Águila

Orcid: 0000-0001-7659-7649

According to our database1, Raquel Caballero-Águila authored at least 57 papers between 2003 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Quadratic estimation for stochastic systems in the presence of random parameter matrices, time-correlated additive noise and deception attacks.
J. Frankl. Inst., October, 2023

Distributed resilient fusion filtering for nonlinear systems with multiple missing measurements via dynamic event-triggered mechanism.
Inf. Sci., August, 2023

Distributed optimal fusion filtering for singular systems with random transmission delays and packet dropout compensations.
Commun. Nonlinear Sci. Numer. Simul., May, 2023

Distributed fusion filtering for uncertain systems with coupled noises, random delays and packet loss prediction compensation.
Int. J. Syst. Sci., January, 2023

2022
Two Compensation Strategies for Optimal Estimation in Sensor Networks with Random Matrices, Time-Correlated Noises, Deception Attacks and Packet Losses.
Sensors, 2022

2020
A Two-Phase Distributed Filtering Algorithm for Networked Uncertain Systems with Fading Measurements under Deception Attacks.
Sensors, 2020

Networked fusion estimation with multiple uncertainties and time-correlated channel noise.
Inf. Fusion, 2020

Distributed fusion filtering for multi-sensor systems with correlated random transition and measurement matrices.
Int. J. Comput. Math., 2020

Distributed fusion estimation from measurements with correlated random parameter matrices and noise correlation.
Int. J. Comput. Math., 2020

2019
Networked distributed fusion estimation under uncertain outputs with random transmission delays, packet losses and multi-packet processing.
Signal Process., 2019

Covariance-Based Estimation for Clustered Sensor Networks Subject to Random Deception Attacks.
Sensors, 2019

A new approach to distributed fusion filtering for networked systems with random parameter matrices and correlated noises.
Inf. Fusion, 2019

Centralized, distributed and sequential fusion estimation from uncertain outputs with correlation between sensor noises and signal.
Int. J. Gen. Syst., 2019

Centralized filtering and smoothing algorithms from outputs with random parameter matrices transmitted through uncertain communication channels.
Digit. Signal Process., 2019

Optimal Filtering Algorithm based on Covariance Information using a Sequential Fusion Approach.
Proceedings of the 16th International Conference on Informatics in Control, 2019

Signal Estimation with Random Parameter Matrices and Time-correlated Measurement Noises.
Proceedings of the 16th International Conference on Informatics in Control, 2019

2018
Centralized Fusion Approach to the Estimation Problem with Multi-Packet Processing under Uncertainty in Outputs and Transmissions.
Sensors, 2018

2017
Optimal Fusion Estimation with Multi-Step Random Delays and Losses in Transmission.
Sensors, 2017

Distributed fusion filters from uncertain measured outputs in sensor networks with random packet losses.
Inf. Fusion, 2017

New distributed fusion filtering algorithm based on covariances over sensor networks with random packet dropouts.
Int. J. Syst. Sci., 2017

Covariance-based fusion filtering for networked systems with random transmission delays and non-consecutive losses.
Int. J. Gen. Syst., 2017

2016
Fusion estimation using measured outputs with random parameter matrices subject to random delays and packet dropouts.
Signal Process., 2016

Networked Fusion Filtering from Outputs with Stochastic Uncertainties and Correlated Random Transmission Delays.
Sensors, 2016

Distributed estimation based on covariances under network-induced phenomena described by random measurement matrices.
Int. J. Gen. Syst., 2016

Quadratic estimation problem in discrete-time stochastic systems with random parameter matrices.
Appl. Math. Comput., 2016

2015
Optimal state estimation for networked systems with random parameter matrices, correlated noises and delayed measurements.
Int. J. Gen. Syst., 2015

2014
Covariance-based estimation algorithms in networked systems with mixed uncertainties in the observations.
Signal Process., 2014

Optimal linear filter design for systems with correlation in the measurement matrices and noises: recursive algorithm and applications.
Int. J. Syst. Sci., 2014

Information fusion algorithms for state estimation in multi-sensor systems with correlated missing measurements.
Appl. Math. Comput., 2014

2013
Linear estimation based on covariances for networked systems featuring sensor correlated random delays.
Int. J. Syst. Sci., 2013

RLS Wiener estimators from observations with multiple and random delays in linear discrete-time stochastic systems.
Appl. Math. Comput., 2013

2012
Recursive least-squares quadratic smoothing from measurements with packet dropouts.
Signal Process., 2012

Least-squares linear estimators using measurements transmitted by different sensors with packet dropouts.
Digit. Signal Process., 2012

2011
Linear and quadratic estimation using uncertain observations from multiple sensors with correlated uncertainty.
Signal Process., 2011

RLS Wiener Predictor with Uncertain Observations in Linear Discrete-Time Stochastic Systems.
J. Signal Inf. Process., 2011

2010
Signal estimation with multiple delayed sensors using covariance information.
Digit. Signal Process., 2010

2009
Least-squares linear filtering using observations coming from multiple sensors with one- or two-step random delay.
Signal Process., 2009

Recursive estimation of discrete-time signals from nonlinear randomly delayed observations.
Comput. Math. Appl., 2009

2008
Signal estimation based on covariance information from observations featuring correlated uncertainty and coming from multiple sensors.
Signal Process., 2008

Polynomial fixed-point smoothing of uncertainly observed signals based on covariances.
Int. J. Syst. Sci., 2008

Recursive Estimation Algorithm Based on Covariances for Uncertainly Observed Signals Correlated with Noise.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2008

Recursive fixed-point smoothing algorithm from covariances based on uncertain observations with correlation in the uncertainty.
Appl. Math. Comput., 2008

2007
Filtering and prediction from uncertain observations with correlated signal and noise via mixture approximations.
Signal Process., 2007

2006
Least-squares nuth-order polynomial estimation of signals from observations affected by non-independent uncertainty.
Appl. Math. Comput., 2006

2005
New recursive estimators from correlated interrupted observations using covariance information.
Int. J. Syst. Sci., 2005

Fixed-interval smoothing algorithm based on covariances with correlation in the uncertainty.
Digit. Signal Process., 2005

Recursive estimators of signals from measurements with stochastic delays using covariance information.
Appl. Math. Comput., 2005

Design of recursive Wiener fixed-point smoothers based on innovations approach in linear discrete-time stochastic systems.
Appl. Math. Comput., 2005

2004
Quadratic estimation from uncertain observations with white plus coloured noises using covariance information.
Appl. Math. Comput., 2004

Polynomial Estimation of Signals from Uncertain Observations Using Covariance Information.
Proceedings of the ICINCO 2004, 2004

New Derivation of the Filter and Fixed-Interval Smoother with Correlated Uncertain Observations.
Proceedings of the ICINCO 2004, 2004

2003
Linear recursive discrete-time estimators using covariance information under uncertain observations.
Signal Process., 2003

Fixed-point smoothing with non-independent uncertainty using covariance information.
Int. J. Syst. Sci., 2003

Second-Order Polynomial Estimators from Non-independent Uncertain Observations Using Covariance Information.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2003

Linear estimation from uncertain observations with white plus coloured noises using covariance information.
Digit. Signal Process., 2003

New design of estimators using covariance information with uncertain observations in linear discrete-time systems.
Appl. Math. Comput., 2003

Second-order polynomial estimators from uncertain observations using covariance information.
Appl. Math. Comput., 2003


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