Distributed diffusion unscented Kalman filtering based on covariance intersection with intermittent measurements

DOI10.1016/j.automatica.2021.109769zbMath1478.93688OpenAlexW3185979708MaRDI QIDQ2665636

Ming Xin, Hao Chen, Jiayuan Shan, Jian-An Wang, ChunYan Wang

Publication date: 19 November 2021

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2021.109769

zbMATH Keywords

intermittent measurementscovariance intersectionUKFdiffusion filtering

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11)

Related Items (4)

Robust weighted fusion Kalman estimators for systems with uncertain noise variances, multiplicative noises, missing measurements, packets dropouts and two‐step random measurement delays ⋮ Stochastic event-triggered remote state estimation over Gaussian channels without knowing triggering decisions: a Bayesian inference approach ⋮ On consistency and stability of distributed Kalman filter under mismatched noise covariance and uncertain dynamics ⋮ A distributed diffusion Kalman filter with event‐triggered mechanism and guaranteed stability

Cites Work

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