Badong Chen

Linear Kalman Filtering Algorithm With Noisy Control Input Variable

2018 · IEEE Transactions on Circuits & Systems II Express Briefs

This brief focuses on the development of a linear Kalman filtering algorithm when the control input variable is corrupted by noises. The noisy input is considered in the derivation process of the Kalman filter, and …

Linear and Nonlinear Regression-Based Maximum Correntropy Extended Kalman Filtering

2019 · IEEE Transactions on Systems Man and Cybernetics Systems

The extended Kalman filter (EKF) is a method extensively applied in many areas, particularly, in nonlinear target tracking. The optimization criterion commonly used in EKF is the celebrated minimum mean square error (MMSE) criterion, which …

Towards a More Stable and General Subgraph Information Bottleneck

2023

Graph Neural Networks (GNNs) have been widely applied to graph-structured data. However, the lack of interpretability impedes its practical deployment especially in high-risk areas such as medical diagnosis. Recently, the Information Bottleneck (IB) principle has …