Particle Smoother for Nonlinear Systems With One‐Step Randomly Delayed Measurements

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

zbMATH Keywords

state estimationBayesian smoothingrandomly delayed measurementsparticle smoothernonlinear and non-Gaussian system

Mathematics Subject Classification ID

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)

Related Items (1)

A novel particle filtering for nonlinear systems with multi-step randomly delayed measurements

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
• Particle filter with one-step randomly delayed measurements and unknown latency probability
• Unscented Rauch--Tung--Striebel Smoother
• A New Derivation of the Cubature Kalman Filters
• 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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