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

DOI10.1080/03081079.2015.1106735zbMath1342.93104OpenAlexW2347100811WikidataQ59551870 ScholiaQ59551870MaRDI QIDQ2817104

Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez

Publication date: 29 August 2016

Published in: International Journal of General Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03081079.2015.1106735

zbMATH Keywords

sensor networksinnovation approachrandom parameter matricesoptimal least-squares estimation

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Estimation and detection in stochastic control theory (93E10) Least squares and related methods for stochastic control systems (93E24) Decentralized systems (93A14) Observability (93B07)

Related Items (3)

Resilient energy-to-peak filtering for linear parameter-varying systems under random access protocol ⋮ Kalman filtering algorithm for systems with stochastic nonlinearity functions, finite-step correlated noises, and missing measurements ⋮ Least-squares filtering algorithm in sensor networks with noise correlation and multiple random failures in transmission

Cites Work

• Optimal filtering for networked systems with stochastic sensor gain degradation
• Information fusion algorithms for state estimation in multi-sensor systems with correlated missing measurements
• Distributed weighted least-squares estimation with fast convergence for large-scale systems
• Recursive filtering with random parameter matrices, multiple fading measurements and correlated noises
• Linear estimation based on covariances for networked systems featuring sensor correlated random delays
• Distributed Filtering for a Class of Time-Varying Systems Over Sensor Networks With Quantization Errors and Successive Packet Dropouts
• Optimal state estimation for networked systems with random parameter matrices, correlated noises and delayed measurements
• Distributed filtering with randomly occurring uncertainties over sensor networks: the channel fading case
• Recent advances on distributed filtering for stochastic systems over sensor networks

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