2 papers
eess.SY2026
A Unified Bayesian Framework for Data-Driven Smoothing, Prediction, and Control
Mingzhou Yin, Andrea Iannelli, Seyed Ali Nazari +1
Extending data-driven algorithms based on Willems' fundamental lemma to stochastic data often requires empirical and customized workarounds. This work presents a unified Bayesian f…
math.OC2024
Distributed Dual Quaternion Extended Kalman Filtering for Spacecraft Pose Estimation
Mathias Hudoba de Badyn, Jonas Binz, Andrea Iannelli +1
In this paper, a distributed dual-quaternion multiplicative extended Kalman filter for the estimation of poses and velocities of individual satellites in a fleet of spacecraft is a…