Robust centralized and integrated covariance intersection fusion Kalman estimators for networked mixed‐uncertain systems
DOI10.1002/rnc.5094zbMath1525.93457OpenAlexW3049445656MaRDI QIDQ6054862
Publication date: 25 October 2023
Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/rnc.5094
multiplicative noisesrandom measurement delayuncertain noise variancesintegrated covariance intersection fusionminimax robust fusion Kalman estimatorsnetworked mixed-uncertain systems
Filtering in stochastic control theory (93E11) Sensitivity (robustness) (93B35) Estimation and detection in stochastic control theory (93E10) Networked control (93B70)
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Cites Work
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- Sequential covariance intersection fusion Kalman filter
- Minimum variance generalized state estimators for multiple sensors with different delay rates
- Design and analysis of discrete-time robust Kalman filters
- Robust centralized and weighted measurement fusion Kalman estimators for multisensor systems with multiplicative and uncertain-covariance linearly correlated white noises
- Robust centralized and weighted measurement fusion Kalman predictors with multiplicative noises, uncertain noise variances, and missing measurements
- Optimal filtering for systems with finite-step autocorrelated process noises, random one-step sensor delay and missing measurements
- Self-tuning decoupled information fusion Wiener state component filters and their convergence
- Optimal linear estimation for systems with multiple packet dropouts
- Distributed \(H_{\infty}\) filtering in sensor networks with randomly occurred missing measurements and communication link failures
- New approach to information fusion steady-state Kalman filtering
- Robust time‐varying Kalman estimators for systems with packet dropouts and uncertain‐variance multiplicative and linearly correlated additive white noises
- Robust centralized and weighted measurement fusion white noise deconvolution estimators for multisensor systems with mixed uncertainties
- Robust fusion time‐varying Kalman estimators for multisensor networked systems with mixed uncertainties
- Robust Filtering With Randomly Varying Sensor Delay: The Finite-Horizon Case
- Robust fusion steady‐state filtering for multisensor networked systems with one‐step random delay, missing measurements, and uncertain‐variance multiplicative and additive white noises
- 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
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