4 citations · 5 across the 6 of their papers we have counts for
6 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 (ETMs) have been developed for consensus problems to reduce communication while ensuring performance guarantees, but their design has grown increasingly…
Event-Triggered Consensus for Continuous-Time Distributed Estimation
Irene Perez-Salesa, Rodrigo Aldana-Lopez, Carlos Sagues
Distributed sensor networks have gained interest thanks to the developments in processing power and communications. Event-triggering mechanisms can be useful in reducing communicat…
Event-based Visual Tracking in Dynamic Environments
Irene Perez-Salesa, Rodrigo Aldana-Lopez, Carlos Sagues
Visual object tracking under challenging conditions of motion and light can be hindered by the capabilities of conventional cameras, prone to producing images with motion blur. Eve…