Particle Smoother for Nonlinear Systems With One‐Step Randomly Delayed Measurements
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Publication:5270491
DOI10.1002/asjc.1394zbMath1365.93516OpenAlexW2532907498MaRDI QIDQ5270491
Yu-Long Huang, Yong-Gang Zhang
Publication date: 23 June 2017
Published in: Asian Journal of Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/asjc.1394
state estimationBayesian smoothingrandomly delayed measurementsparticle smoothernonlinear and non-Gaussian system
Filtering in stochastic control theory (93E11) Nonlinear systems in control theory (93C10) Estimation and detection in stochastic control theory (93E10) Sampled-data control/observation systems (93C57)
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Cites Work
- Cubature Kalman smoothers
- Extended and unscented filtering algorithms using one-step randomly delayed observations
- Gaussian filter for nonlinear systems with one-step randomly delayed measurements
- Particle Swarm Optimization for Vehicle Positioning Based on Robust Cubature Kalman Filter
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- Gaussian Smoothers for Nonlinear Systems With One-Step Randomly Delayed Measurements
- A Novel Fuzzy Approach for State Estimation of Nonlinear Hybrid Systems Using Particle Filtering Method
- Monte Carlo Smoothing for Nonlinear Time Series
- Nonlinear Smoothing Theory
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