4 citations · 4 across the 3 of their papers we have counts for
4 papers
Robust fixed-lag smoothing under model perturbations
Shenglun Yi, Mattia Zorzi
A robust fixed-lag smoothing approach is proposed in the case there is a mismatch between the nominal model and the actual model. The resulting robust smoother is characterized by…
Robust Kalman Filtering Under Model Uncertainty: the Case of Degenerate Densities
Shenglun Yi, Mattia Zorzi
We consider a robust state space filtering problem in the case that the transition probability density is unknown and possibly degenerate. The resulting robust filter has a Kalman-…
Learning the tuned liquid damper dynamics by means of a robust EKF
Alberta Longhini, Michele Perbellini, Stefano Gottardi +3
The tuned liquid dampers (TLD) technology is a feasible and cost-effective seismic design. In order to improve its efficiency it is fundamental to find accurate models describing t…
Low-rank Kalman filtering under model uncertainty
Shenglun Yi, Mattia Zorzi
We consider a robust filtering problem where the nominal state space model is not reachable and different from the actual one. We propose a robust Kalman filter which solves a dyna…