4 papers
Event-triggered parameter estimator for sensor fusion
Ariana Méndez-Castillo, Irene Perez-Salesa, Rodrigo Aldana-López +2
This paper studies event-triggered parameter estimation in sensor fusion systems where sensors transmit measurements to a gradient based estimator. We introduce a regressor-driven…
Super-twisting over networks: A Lyapunov approach for distributed differentiation
Rodrigo Aldana-López, Irene Perez Salesa, David Gomez Gutierrez +2
We study distributed differentiation, where agents in a networked system estimate the average of local time-varying signals and their derivatives under mild assumptions on the agen…
A Note on Optimal Distributed State Estimation for Linear Time-Varying Systems
Irene Perez-Salesa, Rodrigo Aldana-Lopez, Carlos Sagues
In this technical note, we prove that the ODEFTC algorithm constitutes the first optimal distributed state estimator for continuous-time linear time-varying systems subject to stoc…
NN-ETM: Enabling safe neural network-based event-triggering mechanisms for consensus problems
Irene Perez-Salesa, Rodrigo Aldana-Lopez, Carlos Sagues
Event-triggering mechanisms (ETM) have been developed for consensus problems to reduce communication while ensuring performance guarantees, but their design has grown increasingly…