13 citations · 38 across the 23 of their papers we have counts for
4 papers · 1 filter
Behaviors, trajectories and data: A novel perspective on the design of unknown-input observers
Giorgia Disarò, Maria Elena Valcher
The purpose of this paper is to propose a novel perspective, based on Willems' "behavior theory", on the design of an unknown-input observer for a given linear time-invariant discr…
A data-driven approach to UIO-based fault diagnosis
Giulio Fattore, Maria Elena Valcher
In this paper we propose a data-driven approach to the design of a residual generator, based on a dead-beat unknown-input observer, for linear time-invariant discrete-time state-sp…
Data-Driven Reduced-Order Unknown-Input Observers
Giorgia Disarò, Maria Elena Valcher
In this paper we propose a data-driven approach to the design of reduced-order unknown-input observers (rUIOs). We first recall the model-based solution, by assuming a problem set-…
Distributed Data-driven Unknown-input Observers for State Estimation
Yuzhou Wei, Giorgia Disarò, Wenjie Liu +3
Unknown inputs related to, e.g., sensor aging, modeling errors, or device bias, represent a major concern in wireless sensor networks, as they degrade the state estimation performa…