Distributed full-order optimal fusion filters and smoothers for discrete-time stochastic singular systems

DOI10.1080/00207721003611649zbMath1213.93196OpenAlexW1965888467MaRDI QIDQ3082697

Chengjin Zhang, Jiabing Sun, Bing Guo

Publication date: 16 March 2011

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

Full work available at URL: https://doi.org/10.1080/00207721003611649

zbMATH Keywords

smootherssingular systemsmulti-sensor systemsfiltersinformation fusion

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Discrete-time control/observation systems (93C55) Estimation and detection in stochastic control theory (93E10)

Related Items (2)

Decentralized optimal fusion filtering for multi-sensor multi-delay singular systems ⋮ A derivative-free distributed filtering approach for sensorless control of nonlinear systems

Cites Work

• Optimal filtering and smoothing for discrete-time stochastic singular systems
• Decoupled distributed Kalman fuser for descriptor systems
• A unified approach to optimal state estimation for stochastic singular systems
• Multi-sensor optimal information fusion Kalman filters with applications
• Optimal linear estimation fusion. I. Unified fusion rules
• Decentralized structures for parallel Kalman filtering
• On the track-to-track correlation problem
• Kalman filtering and Riccati equations for descriptor systems
• Descriptor Kalman estimators
• Information Filtering and Array Algorithms for Descriptor Systems Subject to Parameter Uncertainties

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