Modified strong tracking unscented Kalman filter for nonlinear state estimation with process model uncertainty

DOI10.1002/acs.2572zbMath1332.93350OpenAlexW1912150046MaRDI QIDQ2792856

Yongmin Zhong, Bingbing Gao, Aleksandar Subic, Shesheng Gao, Gaoge Hu

Publication date: 14 March 2016

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.2572

zbMATH Keywords

nonlinear state estimationstrong tracking filterunscented Kalman filtersuboptimal fading factor

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)

Related Items (4)

Robust stable iterated unscented Kalman filter based on maximum correntropy criterion ⋮ Attitude filtering with uncertain process and measurement noise covariance using <scp>SVD</scp>‐aided adaptive <scp>UKF</scp> ⋮ Novel interacting multiple model filter for uncertain target tracking systems based on weighted Kullback-Leibler divergence ⋮ State estimation for sampled-data descriptor nonlinear system: a strong tracking unscented Kalman filter approach

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