Robust measurement fusion steady-state estimator design for multisensor networked systems with random two-step transmission delays and missing measurements
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Publication:1998305
DOI10.1016/j.matcom.2020.09.013OpenAlexW3089030313MaRDI QIDQ1998305
Chen Shen, Wenqiang Liu, Gui-Li Tao
Publication date: 6 March 2021
Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.matcom.2020.09.013
weighted measurement fusionminimax robust estimation principlemultisensor networked systemrobust steady-state estimatorstwo-step random delaysuncertain noise variances
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Cites Work
- Self-tuning distributed measurement fusion Kalman estimator for the multi-channel ARMA signal
- Optimal and self-tuning weighted measurement fusion Wiener filter for the multisensor multichannel ARMA signals
- Multi-sensor optimal information fusion Kalman filter
- Optimal filtering for systems with finite-step autocorrelated process noises, random one-step sensor delay and missing measurements
- New approach to information fusion steady-state Kalman filtering
- Optimal and self-tuning weighted measurement fusion Kalman filters and their asymptotic global optimality
- Optimal Linear Estimators for Systems With Random Sensor Delays, Multiple Packet Dropouts and Uncertain Observations
- Robust time‐varying Kalman estimators for systems with packet dropouts and uncertain‐variance multiplicative and linearly correlated additive white noises
- Robust fusion time‐varying Kalman estimators for multisensor networked systems with mixed uncertainties
- Optimal linear estimators for systems with multiple random measurement delays and packet dropouts
- Optimal Linear Filters for Discrete-Time Systems With Randomly Delayed and Lost Measurements With/Without Time Stamps
- Robust Kalman filters for linear time-varying systems with stochastic parametric uncertainties
- Robust weighted fusion Kalman estimators for multisensor systems with multiplicative noises and uncertain‐covariances linearly correlated white noises
- Optimal recursive estimation with uncertain observation
- The optimality for the distributed Kalman filtering fusion with feedback
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