Raquel Caballero-Águila

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 30

Top Topics

Information Fusion

Stochastic Systems

Filtering Algorithm

Top Venues

Int. J. Gen. Syst.

Int. J. Syst. Sci.

Publications

Bingxin Lei, Jun Hu, Raquel Caballero-Águila, Cai Chen
Hybrid-attack-resistant distributed state estimation for nonlinear complex networks with random coupling strength and sensor delays. J. Frankl. Inst. 361 (13) (2024)
Raquel Caballero-Águila, J. Hu, J. Linares-Pérez
Filtering and smoothing estimation algorithms from uncertain nonlinear observations with time-correlated additive noise and random deception attacks. Int. J. Syst. Sci. 55 (10) (2024)
Jun Hu, Zhibin Hu, Raquel Caballero-Águila, Xiao-jian Yi
Distributed fusion filtering for multi-sensor nonlinear networked systems with multiple fading measurements via stochastic communication protocol. Inf. Fusion 112 (2024)
Jun Hu, Shuo Yang, Raquel Caballero-Águila, Hongli Dong, Boying Wu
Mixed Static-Dynamic Protocol-Based Tobit Recursive Filtering for Stochastic Nonlinear Systems Against Random False Data Injection Attacks. IEEE Trans. Signal Inf. Process. over Networks 10 (2024)
Raquel Caballero-Águila, Josefa Linares-Pérez
Distributed fusion filtering for uncertain systems with coupled noises, random delays and packet loss prediction compensation. Int. J. Syst. Sci. 54 (2) (2023)
Raquel Caballero-Águila, Josefa Linares-Pérez
Quadratic estimation for stochastic systems in the presence of random parameter matrices, time-correlated additive noise and deception attacks. J. Frankl. Inst. 360 (15) (2023)
Jun Hu, Chen Wang, Raquel Caballero-Águila, Hongjian Liu
Distributed optimal fusion filtering for singular systems with random transmission delays and packet dropout compensations. Commun. Nonlinear Sci. Numer. Simul. 119 (2023)
Jun Hu, Zhibin Hu, Raquel Caballero-Águila, Cai Chen, Shuting Fan, Xiaojian Yi
Distributed resilient fusion filtering for nonlinear systems with multiple missing measurements via dynamic event-triggered mechanism. Inf. Sci. 637 (2023)
Raquel Caballero-Águila, Jun Hu, Josefa Linares-Pérez
Two Compensation Strategies for Optimal Estimation in Sensor Networks with Random Matrices, Time-Correlated Noises, Deception Attacks and Packet Losses. Sensors 22 (21) (2022)
Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez
A Two-Phase Distributed Filtering Algorithm for Networked Uncertain Systems with Fading Measurements under Deception Attacks. Sensors 20 (22) (2020)
Raquel Caballero-Águila, Irene García-Garrido, Josefa Linares-Pérez
Distributed fusion filtering for multi-sensor systems with correlated random transition and measurement matrices. Int. J. Comput. Math. 97 (1-2) (2020)
Raquel Caballero-Águila, Irene García-Garrido, Josefa Linares-Pérez
Distributed fusion estimation from measurements with correlated random parameter matrices and noise correlation. Int. J. Comput. Math. 97 (1-2) (2020)
Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez
Networked fusion estimation with multiple uncertainties and time-correlated channel noise. Inf. Fusion 54 (2020)
Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez
Centralized filtering and smoothing algorithms from outputs with random parameter matrices transmitted through uncertain communication channels. Digit. Signal Process. 85 (2019)
Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez
Signal Estimation with Random Parameter Matrices and Time-correlated Measurement Noises. ICINCO (1) (2019)
Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez
Covariance-Based Estimation for Clustered Sensor Networks Subject to Random Deception Attacks. Sensors 19 (14) (2019)
Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, Zidong Wang
A new approach to distributed fusion filtering for networked systems with random parameter matrices and correlated noises. Inf. Fusion 45 (2019)
Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez
Networked distributed fusion estimation under uncertain outputs with random transmission delays, packet losses and multi-packet processing. Signal Process. 156 (2019)
Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez
Centralized, distributed and sequential fusion estimation from uncertain outputs with correlation between sensor noises and signal. Int. J. Gen. Syst. 48 (7) (2019)
Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez
Optimal Filtering Algorithm based on Covariance Information using a Sequential Fusion Approach. ICINCO (1) (2019)
Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez
Centralized Fusion Approach to the Estimation Problem with Multi-Packet Processing under Uncertainty in Outputs and Transmissions. Sensors 18 (8) (2018)
Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez
Optimal Fusion Estimation with Multi-Step Random Delays and Losses in Transmission. Sensors 17 (5) (2017)
Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez
Covariance-based fusion filtering for networked systems with random transmission delays and non-consecutive losses. Int. J. Gen. Syst. 46 (7) (2017)
Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez
New distributed fusion filtering algorithm based on covariances over sensor networks with random packet dropouts. Int. J. Syst. Sci. 48 (9) (2017)
Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez
Distributed fusion filters from uncertain measured outputs in sensor networks with random packet losses. Inf. Fusion 34 (2017)
Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez
Fusion estimation using measured outputs with random parameter matrices subject to random delays and packet dropouts. Signal Process. 127 (2016)
Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez
Distributed estimation based on covariances under network-induced phenomena described by random measurement matrices. Int. J. Gen. Syst. 45 (5) (2016)
Raquel Caballero-Águila, Irene García-Garrido, Josefa Linares-Pérez
Quadratic estimation problem in discrete-time stochastic systems with random parameter matrices. Appl. Math. Comput. 273 (2016)
Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez
Networked Fusion Filtering from Outputs with Stochastic Uncertainties and Correlated Random Transmission Delays. Sensors 16 (6) (2016)
Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez
Optimal state estimation for networked systems with random parameter matrices, correlated noises and delayed measurements. Int. J. Gen. Syst. 44 (2) (2015)
Josefa Linares-Pérez, Raquel Caballero-Águila, Irene García-Garrido
Optimal linear filter design for systems with correlation in the measurement matrices and noises: recursive algorithm and applications. Int. J. Syst. Sci. 45 (7) (2014)
Raquel Caballero-Águila, Irene García-Garrido, Josefa Linares-Pérez
Information fusion algorithms for state estimation in multi-sensor systems with correlated missing measurements. Appl. Math. Comput. 226 (2014)
Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez
Covariance-based estimation algorithms in networked systems with mixed uncertainties in the observations. Signal Process. 94 (2014)
Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez
Linear estimation based on covariances for networked systems featuring sensor correlated random delays. Int. J. Syst. Sci. 44 (7) (2013)
Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez
RLS Wiener estimators from observations with multiple and random delays in linear discrete-time stochastic systems. Appl. Math. Comput. 225 (2013)
Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez
Least-squares linear estimators using measurements transmitted by different sensors with packet dropouts. Digit. Signal Process. 22 (6) (2012)
Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez
Recursive least-squares quadratic smoothing from measurements with packet dropouts. Signal Process. 92 (4) (2012)
Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez
Linear and quadratic estimation using uncertain observations from multiple sensors with correlated uncertainty. Signal Process. 91 (2) (2011)
Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez
RLS Wiener Predictor with Uncertain Observations in Linear Discrete-Time Stochastic Systems. J. Signal Inf. Process. 2 (3) (2011)
Raquel Caballero-Águila, Aurora Hermoso-Carazo, José D. Jiménez-López, Josefa Linares-Pérez, Seiichi Nakamori
Signal estimation with multiple delayed sensors using covariance information. Digit. Signal Process. 20 (2) (2010)
Raquel Caballero-Águila, Aurora Hermoso-Carazo, José D. Jiménez-López, Josefa Linares-Pérez, Seiichi Nakamori
Recursive estimation of discrete-time signals from nonlinear randomly delayed observations. Comput. Math. Appl. 58 (6) (2009)
Josefa Linares-Pérez, Aurora Hermoso-Carazo, Raquel Caballero-Águila, José D. Jiménez-López
Least-squares linear filtering using observations coming from multiple sensors with one- or two-step random delay. Signal Process. 89 (10) (2009)
Aurora Hermoso-Carazo, Josefa Linares-Pérez, José D. Jiménez-López, Raquel Caballero-Águila, Seiichi Nakamori
Recursive fixed-point smoothing algorithm from covariances based on uncertain observations with correlation in the uncertainty. Appl. Math. Comput. 203 (1) (2008)
José D. Jiménez-López, Josefa Linares-Pérez, Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo
Signal estimation based on covariance information from observations featuring correlated uncertainty and coming from multiple sensors. Signal Process. 88 (12) (2008)
Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, José D. Jiménez-López, Josefa Linares-Pérez
Polynomial fixed-point smoothing of uncertainly observed signals based on covariances. Int. J. Syst. Sci. 39 (2) (2008)
Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, José D. Jiménez-López, Josefa Linares-Pérez
Recursive Estimation Algorithm Based on Covariances for Uncertainly Observed Signals Correlated with Noise. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (7) (2008)
Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, J. Jiménez-Carazo, Josefa Linares-Pérez
Filtering and prediction from uncertain observations with correlated signal and noise via mixture approximations. Signal Process. 87 (5) (2007)
Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, José D. Jiménez-López, Josefa Linares-Pérez
Least-squares nuth-order polynomial estimation of signals from observations affected by non-independent uncertainty. Appl. Math. Comput. 176 (2) (2006)
Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez
New recursive estimators from correlated interrupted observations using covariance information. Int. J. Syst. Sci. 36 (10) (2005)
Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez
Fixed-interval smoothing algorithm based on covariances with correlation in the uncertainty. Digit. Signal Process. 15 (2) (2005)
Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez
Design of recursive Wiener fixed-point smoothers based on innovations approach in linear discrete-time stochastic systems. Appl. Math. Comput. 165 (3) (2005)
Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez
Recursive estimators of signals from measurements with stochastic delays using covariance information. Appl. Math. Comput. 162 (1) (2005)
Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez
Polynomial Estimation of Signals from Uncertain Observations Using Covariance Information. ICINCO (3) (2004)
Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez
New Derivation of the Filter and Fixed-Interval Smoother with Correlated Uncertain Observations. ICINCO (3) (2004)
Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez
Quadratic estimation from uncertain observations with white plus coloured noises using covariance information. Appl. Math. Comput. 155 (1) (2004)
Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez
Fixed-point smoothing with non-independent uncertainty using covariance information. Int. J. Syst. Sci. 34 (7) (2003)
Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez
Linear estimation from uncertain observations with white plus coloured noises using covariance information. Digit. Signal Process. 13 (3) (2003)
Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez
Second-order polynomial estimators from uncertain observations using covariance information. Appl. Math. Comput. 143 (2-3) (2003)
Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez
New design of estimators using covariance information with uncertain observations in linear discrete-time systems. Appl. Math. Comput. 135 (2-3) (2003)
Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez
Second-Order Polynomial Estimators from Non-independent Uncertain Observations Using Covariance Information. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (5) (2003)
Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez
Linear recursive discrete-time estimators using covariance information under uncertain observations. Signal Process. 83 (7) (2003)