Hierarchical fusion robust Kalman filter for clustering sensor network time-varying systems with uncertain noise variances

DOI10.1002/acs.2463zbMath1337.93096OpenAlexW1535702244MaRDI QIDQ2802408

Peng Zhang, Deng, Zili, Wen-Juan Qi

Publication date: 25 April 2016

Published in: International Journal of Adaptive Control and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/acs.2463

zbMATH Keywords

convergenceminimax robust filtersensor networkrobust Kalman filteringrobust accuracyuncertain noise variancedecentralized fusionhierarchical fusion

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Filtering in stochastic control theory (93E11) Estimation and detection in stochastic control theory (93E10)

Related Items (3)

Modelling and estimation for uncertain systems with transmission delays, packet dropouts, and out-of-order packets ⋮ Distributed two‐stage state estimation with event‐triggered strategy for multirate sensor networks ⋮ Fusion estimation in clustering sensor networks under stochastic deception attacks

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