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Found 3 papers, 1 papers with code
Generalized Multi-kernel Maximum Correntropy Kalman Filter for Disturbance Estimation
Disturbance observers have been attracting continuing research efforts and are widely used in many applications.
Multi-kernel Correntropy-based Orientation Estimation of IMUs: Gradient Descent Methods
We evaluate the effectiveness of our proposed methods by comparing them with existing algorithms in various situations.
Multi-kernel Correntropy Regression: Robustness, Optimality, and Application on Magnetometer Calibration
This paper investigates the robustness and optimality of the multi-kernel correntropy (MKC) on linear regression.
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