Adaptive Kalman filtering for systems subject to randomly delayed and lost measurements
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Publication:2312479
DOI10.1007/S00034-017-0668-5zbMath1458.93253OpenAlexW2757735078MaRDI QIDQ2312479
Reza Mahboobi Esfanjani, Akram Nikfetrat
Publication date: 17 July 2019
Published in: Circuits, Systems, and Signal Processing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00034-017-0668-5
Filtering in stochastic control theory (93E11) Discrete-time control/observation systems (93C55) Linear systems in control theory (93C05) Stochastic learning and adaptive control (93E35) Delay control/observation systems (93C43)
Cites Work
- Optimal estimation of parameters and states in stochastic time-varying systems with time delay
- Modeling and estimation for networked systems with multiple random transmission delays and packet losses
- Mean square stability for Kalman filtering with Markovian packet losses
- Control and estimation of systems with input/output delays.
- Adaptive Kalman estimation in target tracking mixed with random one-step delays, stochastic-bias measurements, and missing measurements
- Optimal filtering for networked systems with Markovian communication delays
- State estimation for networked systems: an extended IMM algorithm
- Control and Estimation Methods over Communication Networks
- Distributed Fusion Estimation With Missing Measurements, Random Transmission Delays and Packet Dropouts
- Adaptive Kalman Filtering in Networked Systems With Random Sensor Delays, Multiple Packet Dropouts and Missing Measurements
- Robust Information Fusion Estimator for Multiple Delay-Tolerant Sensors With Different Failure Rates
- Optimal Linear Filters for Discrete-Time Systems With Randomly Delayed and Lost Measurements With/Without Time Stamps
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