Optimal state estimation for networked systems with random parameter matrices, correlated noises and delayed measurements
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Publication:5246253
DOI10.1080/03081079.2014.973728zbMath1309.93152DBLPjournals/ijgs/Caballero-Aguila15OpenAlexW2041506226WikidataQ59551966 ScholiaQ59551966MaRDI QIDQ5246253
Raquel Caballero-Águila, Josefa Linares-Pérez, Aurora Hermoso-Carazo
Publication date: 20 April 2015
Published in: International Journal of General Systems (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03081079.2014.973728
randomly delayed observationscorrelated noisesinnovation approachrandom parameter matricesoptimal least-squares estimation
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Cites Work
- Globally optimal distributed Kalman filtering fusion
- Optimal filtering for networked systems with stochastic sensor gain degradation
- Information fusion algorithms for state estimation in multi-sensor systems with correlated missing measurements
- Minimum variance generalized state estimators for multiple sensors with different delay rates
- Recursive filtering with random parameter matrices, multiple fading measurements and correlated noises
- Linear estimation for networked control systems with random transmission delays and packet dropouts
- Linear estimation based on covariances for networked systems featuring sensor correlated random delays
- Optimal distributed Kalman filtering fusion for a linear dynamic system with cross-correlated noises
- Optimal linear filter design for systems with correlation in the measurement matrices and noises: recursive algorithm and applications
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