Distributed adaptive cubature information filtering for bounded noise system in wireless sensor networks
DOI10.1002/rnc.5508zbMath1525.93464OpenAlexW3142381750MaRDI QIDQ6083800
Shesheng Gao, Guo Li, Xiaomin Qi, Jiahao Zhang, Bingbing Gao, Juan Xia
Publication date: 31 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.5508
distributed state estimationweighted rulecovariance intersection criteriondistributed noise statistic estimatorweighted average consensus
Filtering in stochastic control theory (93E11) Nonlinear systems in control theory (93C10) Estimation and detection in stochastic control theory (93E10) Stochastic learning and adaptive control (93E35) Networked control (93B70)
Cites Work
- Kullback-Leibler average, consensus on probability densities, and distributed state estimation with guaranteed stability
- Nonlinear weighted measurement fusion unscented Kalman filter with asymptotic optimality
- Decentralized data fusion with inverse covariance intersection
- Local node selection for target tracking based on underwater wireless sensor networks
- Consensus-Based Linear and Nonlinear Filtering
- Adaptive UKF Filtering Algorithm Based on Maximum a Posterior Estimation and Exponential Weighting
- Networked Fusion Estimation With Bounded Noises
- Cubature Kalman Filters
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