A new continuous-discrete particle filter for continuous-discrete nonlinear systems

DOI10.1016/j.ins.2013.04.030zbMath1320.93083OpenAlexW1969952754MaRDI QIDQ497236

Xiumei Geng, Yuanqing Xia, Li Li, Zhi-Hong Deng

Publication date: 23 September 2015

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2013.04.030

zbMATH Keywords

Runge-Kutta methodparticle filtercontinuous-discrete filter

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Nonlinear systems in control theory (93C10) Estimation and detection in stochastic control theory (93E10) Control/observation systems governed by functional relations other than differential equations (such as hybrid and switching systems) (93C30)

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Cites Work

• Stochastic stability of the unscented Kalman filter with intermittent observations
• Computational aspects of continuous-discrete extended Kalman-filtering
• Speed and rotor flux estimation of induction machines using a two-stage extended Kalman filter
• Utilization of modified polar coordinates for bearings-only tracking
• Kalman filtering for continuous-time uncertain systems with Markovian jumping parameters
• A Basic Convergence Result for Particle Filtering
• An Improvement on Resampling Algorithm of Particle Filters
• A Novel Delta Operator Kalman Filter Design and Convergence Analysis
• Various Ways to Compute the Continuous-Discrete Extended Kalman Filter