3 papers
stat.ML2026
Hierarchical Variational Kalman Filtering
Shilei Li, Dawei Shi, Wei Zheng +1
Traditional variational Kalman filtering with unknown noise statistics suffers from inconsistent process covariance estimation and slow convergence speed, limiting its practical ut…
cs.IT2026
Variational Robust Kalman Filters: A Unified Framework
Shilei Li, Dawei Shi, Hao Yu +1
Robustness and adaptivity are two competing objectives in Kalman filters (KF). Robustness involves temporarily inflating prior estimates of noise covariances, while adaptivity upda…
cs.RO2025
Improved Extended Kalman Filter-Based Disturbance Observers for Exoskeletons
Shilei Li, Dawei Shi, Makoto Iwasaki +3
The nominal performance of mechanical systems is often degraded by unknown disturbances. A two-degree-of-freedom control structure can decouple nominal performance from disturbance…