output
20142026
most citedData-Driven Methods for Present and Future Pandemics: Monitoring, Modelling and Managing

67 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing eess.SYShow all

5 papers · 1 filter

eess.SY2025★ 12 cited

Driver Behavior Soft-Sensor Based on Neurofuzzy Systems and Weighted Projection on Principal Components

Juan Manuel Escaño, Miguel A. Ridao-Olivar, Carmelina Ierardi +2

This work has as main objective the development of a soft-sensor to classify, in real time, the behaviors of drivers when they are at the controls of a vehicle. Efficient classific…

eess.SY2024★ 44 cited

Nonlinear model predictive control-based guidance law for path following of unmanned surface vehicles

G. Bejarano, J. M. Manzano, J. R. Salvador +1

This work proposes a nonlinear model predictive control-based guidance strategy for unmanned surface vehicles, focused on path following. The application of this strategy, in addit…

eess.SY2021★ 11 cited

Velocity and Disturbance Robust Non-linear Estimator for Autonomous Surface Vehicles with Reduced Sensing Capabilities

Guillermo Bejarano, Sufiyan N-Yo, Luis Orihuela

This paper presents a robust non-linear state estimator for autonomous surface vehicles, where the movement is restricted to the horizontal plane. It is assumed that only the vehic…

eess.SY2021★ 2 cited

Oracle-based economic predictive control

Jose Maria Manzano, David Muñoz de la Peña, Daniel Limon

This paper presents an economic model predictive controller, under the assumption that the only measurable signal of the plant is the economic cost to be minimized. In order to for…

eess.SY2021★ 67 cited

Data-Driven Methods for Present and Future Pandemics: Monitoring, Modelling and Managing

Teodoro Alamo, Daniel G. Reina, Pablo Millán Gata +2

This survey analyses the role of data-driven methodologies for pandemic modelling and control. We provide a roadmap from the access to epidemiological data sources to the control o…