Raquel Caballero-Aguila (0000-0001-7659-7649)

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Raquel Caballero-Águila received the B.Sc. degree in Mathematics and the Ph.D. degree in Mathematical Sciences, both from the University of Granada (Spain), in 1997 and 1999 respectively. She joined the University of Jaén (Spain) in 1997, where she is currently a Professor with the Department of Statistics and Operations Research. She has authored or co-authored more than eighty papers in peer-reviewed international journals. Her current research interests include time-varying stochastic systems, complex networks, filtering, prediction and smoothing. She is a reviewer for Mathematical Reviews and serves on the editorial boards of Systems Science and Control Engineering and Mathematical Problems in Engineering.

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Universidad de Jaén: Jaén, ES

2021-10-14 to present | Professor (Catedrático de Universidad) (Departamento de Estadística e Investigación Operativa)

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Raquel Caballero-Aguila

https://orcid.org/0000-0001-7659-7649

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Employment (4)

Universidad de Jaén: Jaén, ES

Universidad de Jaén: Jaén, ES

Universidad de Jaén: Jaén, ES

Universidad de Jaén: Jaén, Andalucía, ES

Education and qualifications (2)

Universidad de Granada: Granada, ES

Universidad de Granada: Granada, ES

Works (50 of 83)

Cubature Kalman Filtering for Nonlinear Systems With Energy Harvesting Sensors Under Probabilistic Quantization Effects

Distributed State Estimation for Nonlinear Dynamical Networks With Stochastic Topological Structures Subject to Random Deception Attacks and Bit-Rate Constraints

Distributed estimation for uncertain systems subject to measurement quantization and adversarial attacks

Distributed fusion filtering for multi-rate nonlinear systems with binary measurements under encryption and decryption scheme

Mixed Static-Dynamic Protocol-Based Tobit Recursive Filtering for Stochastic Nonlinear Systems Against Random False Data Injection Attacks

Distributed fusion filtering for multi-sensor nonlinear networked systems with multiple fading measurements via stochastic communication protocol

Hybrid-attack-resistant distributed state estimation for nonlinear complex networks with random coupling strength and sensor delays

Filtering and smoothing estimation algorithms from uncertain nonlinear observations with time-correlated additive noise and random deception attacks

Unreliable networks with random parameter matrices and time-correlated noises: distributed estimation under deception attacks

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

Distributed resilient fusion filtering for nonlinear systems with multiple missing measurements via dynamic event-triggered mechanism

Distributed optimal fusion filtering for singular systems with random transmission delays and packet dropout compensations

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

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

THE BENEFITS OF USING SUPPLEMENTARY SELF-ASSESSMENT MATERIALS FOR FOREIGN STUDENTS

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

Networked fusion estimation with multiple uncertainties and time-correlated channel noise

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

Distributed fusion filtering for multi-sensor systems with correlated random transition and measurement matrices

Centralized, distributed and sequential fusion estimation from uncertain outputs with correlation between sensor noises and signal

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

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

A new approach to distributed fusion filtering for networked systems with random parameter matrices and correlated noises

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

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

Fusion Estimation from Multisensor Observations with Multiplicative Noises and Correlated Random Delays in Transmission

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

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

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

Distributed fusion filters from uncertain measured outputs in sensor networks with random packet losses

Fusion estimation using measured outputs with random parameter matrices subject to random delays and packet dropouts

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

Quadratic estimation problem in discrete-time stochastic systems with random parameter matrices

Distributed fusion filtering in networked systems with random measurement matrices and correlated noises

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

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

Covariance-based estimation from multisensor delayed measurements with random parameter matrices and correlated noises

Information fusion algorithms for state estimation in multi-sensor systems with correlated missing measurements

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

Centralized fusion quadratic estimators in multi-sensor systems with correlated missing measurements

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

Optimal fusion filtering in multisensor stochastic systems with missing measurements and correlated noises

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

Extended and unscented filtering algorithms in nonlinear fractional order systems with uncertain observations

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

Recursive least-squares quadratic smoothing from measurements with packet dropouts

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

Quadratic estimators from interrupted observations transmitted by different sensors

A new estimation algorithm from measurements with multiple-step random delays and packet dropouts

Least-squares polynomial estimation from observations featuring correlated random delays

Peer review (1 review for 1 publication/grant)