Globally optimal sequential and distributed fusion state estimation for multi-sensor systems with cross-correlated noises
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Publication:1737704
DOI10.1016/j.automatica.2018.11.043zbMath1415.93250OpenAlexW2905309910WikidataQ128744168 ScholiaQ128744168MaRDI QIDQ1737704
Publication date: 24 April 2019
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.automatica.2018.11.043
Filtering in stochastic control theory (93E11) Feedback control (93B52) Estimation and detection in stochastic control theory (93E10)
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Cites Work
- Unnamed Item
- Unnamed Item
- Optimal filtering for systems with unknown inputs via the descriptor Kalman filtering method
- Optimal filtering and smoothing for discrete-time stochastic singular systems
- Multi-sensor optimal information fusion Kalman filter
- State estimators for systems with random parameter matrices, stochastic nonlinearities, fading measurements and correlated noises
- Recursive filtering with random parameter matrices, multiple fading measurements and correlated noises
- Optimal sequential and distributed fusion for state estimation in cross-correlated noise
- Decentralized data fusion with inverse covariance intersection
- Optimal Kalman filtering fusion with cross-correlated sensor noises
- Robust minimum variance linear state estimators for multiple sensors with different failure rates
- A Contraction Analysis of the Convergence of Risk-Sensitive Filters
- Distributed Kalman Filtering and Sensor Fusion in Sensor Networks
- Optimal linear estimation fusion. I. Unified fusion rules
- Decentralized structures for parallel Kalman filtering
- A General Convergence Result for Particle Filtering
- Optimal Linear Estimators for Systems With Finite-Step Correlated Noises and Packet Dropout Compensations
- Diffusion Strategies for Distributed Kalman Filtering and Smoothing
- Optimal state estimation for networked systems with random parameter matrices, correlated noises and delayed measurements
- Distributed fusion estimation for multi-sensor asynchronous sampling systems with correlated noises
- Robust Kalman Filtering Under Model Perturbations
- Kalman Filtering With Intermittent Observations: Weak Convergence to a Stationary Distribution
- Optimal Linear Filters for Discrete-Time Systems With Randomly Delayed and Lost Measurements With/Without Time Stamps