State estimation for asynchronous multirate multisensor nonlinear dynamic systems with missing measurements

DOI10.1002/acs.2266zbMath1263.93218OpenAlexW1575318933MaRDI QIDQ4922011

Liping Yan, Yuanqing Xia, Mengyin Fu, Bo Xiao

Publication date: 28 May 2013

Published in: International Journal of Adaptive Control and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/acs.2266

zbMATH Keywords

nonlinear systemstate estimationdata fusionasynchronousBernoulli distributionsensor networkmultiratesigma point Kalman filterhighest sampling ratemultiscale system theorynonlinear multirate multisensor asynchronous sampling

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Nonlinear systems in control theory (93C10) Control/observation systems with incomplete information (93C41) Discrete-time control/observation systems (93C55) Estimation and detection in stochastic control theory (93E10) Sampled-data control/observation systems (93C57)

Related Items (2)

Modified strong tracking unscented Kalman filter for nonlinear state estimation with process model uncertainty ⋮ Windowing and random weighting-based adaptive unscented Kalman filter

Cites Work

• Comments on ``Performance evaluation of UKF-based nonlinear filtering
• A comparison of nonlinear filtering approaches with an application to ground target tracking
• Performance evaluation of UKF-based nonlinear filtering
• Adaptive variable structure state estimation for uncertain systems with persistently bounded disturbances
• Multiresolutional distributed filtering
• Stochastic Stability of the Extended Kalman Filter With Intermittent Observations
• State Estimation and Sliding-Mode Control of Markovian Jump Singular Systems
• Kalman Filtering With Intermittent Observations: Convergence for Semi-Markov Chains and an Intrinsic Performance Measure

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