Stochastically resilient extended Kalman filtering for discrete-time nonlinear systems with sensor failures
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Publication:5167993
DOI10.1080/00207721.2013.879257zbMath1290.93191OpenAlexW2110122461MaRDI QIDQ5167993
Publication date: 3 July 2014
Published in: International Journal of Systems Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207721.2013.879257
extended Kalman filtersensor networksstochastic estimationsensor failuresdiscrete time nonlinear systemsfault tolerant estimation
Filtering in stochastic control theory (93E11) Nonlinear systems in control theory (93C10) Discrete-time control/observation systems (93C55)
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Cites Work
- Recursive estimator for linear and nonlinear systems with uncertain observations
- Extended Kalman filtering with stochastic nonlinearities and multiple missing measurements
- Robust minimum variance linear state estimators for multiple sensors with different failure rates
- Lyapunov-based design of resilient mixed MSE-dissipative-type state observers for a class of nonlinear systems and general performance criteria
- Linear recursive state estimators under uncertain observations
- Explicit solution and eigenvalue bounds in the Lyapunov matrix equation
- Robust filtering with missing data and a deterministic description of noise and uncertainty
- Gain-Constrained Recursive Filtering With Stochastic Nonlinearities and Probabilistic Sensor Delays
- Estimation with lossy measurements: jump estimators for jump systems
- Variance-constrained filtering for uncertain stochastic systems with missing measurements
- The problem of state estimation via asynchronous communication channels with irregular transmission times
- Kalman Filtering With Intermittent Observations
- Optimal recursive estimation with uncertain observation