Bayesian state estimation in the presence of slow-rate integrated measurement

DOI10.1080/00207721.2020.1808730zbMath1483.93638OpenAlexW3082979107MaRDI QIDQ5026602

Fatemeh Yaghoobi, Alireza Fatehi, Masoud Moghaddasi

Publication date: 8 February 2022

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

Full work available at URL: https://doi.org/10.1080/00207721.2020.1808730

zbMATH Keywords

sequential Monte Carlosoft sensorBayesian state estimationslow-rate integrated measurement (SRTM)

Mathematics Subject Classification ID

Discrete-time control/observation systems (93C55) Estimation and detection in stochastic control theory (93E10) Linear systems in control theory (93C05)

Cites Work

• Unnamed Item
• Unnamed Item
• State estimation incorporating infrequent, delayed and integral measurements
• Random sampling approach to state estimation in switching environments
• Bayesian methods for control loop diagnosis in the presence of temporal dependent evidences
• A Particle Filtering Scheme for Processing Time Series Corrupted by Outliers
• A survey of convergence results on particle filtering methods for practitioners
• Monte Carlo techniques to estimate the conditional expectation in multi-stage non-linear filtering†
• Differentiation Under the Integral Sign

This page was built for publication: Bayesian state estimation in the presence of slow-rate integrated measurement