Flexible optimal Kalman filtering in wireless sensor networks with intermittent observations
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Publication:2030991
DOI10.1016/j.jfranklin.2021.03.025zbMath1465.93220OpenAlexW3142942874MaRDI QIDQ2030991
Publication date: 8 June 2021
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jfranklin.2021.03.025
Related Items (5)
Distributed event-triggered target tracking under cyber attacks ⋮ Asynchronous finite-time \(H_\infty\) filtering for linear neutral semi-Markovian jumping systems under hybrid cyber attacks ⋮ Tuning-free filtering for stochastic systems with unmodeled measurement dynamics ⋮ Distributed Kalman filtering over sensor networks with fading measurements and random link failures ⋮ \(H_\infty\) filter design for discrete-time networked systems with adaptive event-triggered mechanism and hybrid cyber attacks
Cites Work
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- Mean square stability for Kalman filtering with Markovian packet losses
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- State estimation over lossy channel via online measurement coding: algorithm design and performance optimization
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- Distributed tracking control of mobile sensor networks with intermittent communications
- Distributed nonlinear Kalman filter with communication protocol
- Optimal filtering with random sensor delay, multiple packet dropout and uncertain observations
- Stochastic Stability of the Extended Kalman Filter With Intermittent Observations
- Distributed Kalman Filtering Over Wireless Sensor Networks in the Presence of Data Packet Drops
- Kalman Filtering With Intermittent Observations
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