Distributed fusion receding horizon filtering in linear stochastic systems

DOI10.1155/2009/929535zbMath1192.94057OpenAlexW2133007641WikidataQ59219694 ScholiaQ59219694MaRDI QIDQ983826

Vladimir Shin, Du Yong Kim, Suk Jae Lee, Il Young Song, Yong-Hoon Kim

Publication date: 26 July 2010

Published in: EURASIP Journal on Advances in Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2009/929535

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (1)

Distributed fusion receding horizon filtering for uncertain linear stochastic systems with time-delay sensors

Cites Work

• Generalized Millman's formula and its application for estimation problems
• Multi-sensor optimal information fusion Kalman filter
• Multi-sensor optimal information fusion Kalman filters with applications
• Optimal linear estimation fusion. I. Unified fusion rules
• Decentralized structures for parallel Kalman filtering
• The optimality for the distributed Kalman filtering fusion with feedback

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