Proposes SR-GCI-IUKF, a robust UKF using generalized correntropy for nonlinear state estimation under non-Gaussian disturbances, with claimed kernel insensitivity and stability guarantees.
A Robust Iterated Extended Kalman Filter for Power System Dynamic State Estimation,
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A decentralized MGST-VBUKF algorithm is proposed that uses generalized Student's t correntropy, variational Bayesian noise modeling, and regional fusion to improve robustness in power system state estimation under non-Gaussian and unknown noise.
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Outlier-Robust unscented Kalman filter based on generalized correntropy induced
Proposes SR-GCI-IUKF, a robust UKF using generalized correntropy for nonlinear state estimation under non-Gaussian disturbances, with claimed kernel insensitivity and stability guarantees.
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Decentralized Variational Bayesian UKF with Maximum Generalized Student's t-kernel Correntropy for Wide-Area Power System state estimation
A decentralized MGST-VBUKF algorithm is proposed that uses generalized Student's t correntropy, variational Bayesian noise modeling, and regional fusion to improve robustness in power system state estimation under non-Gaussian and unknown noise.