Robust filter design for asymmetric measurement noise using variational Bayesian inference

摘要

To obtain an effective state estimator for industrial processes, estimator needs to be designed to match the characteristics of noise. In this study, a new filter is proposed focusing on asymmetric measurement noise with probable outliers. By learning a t