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20172020
most citedGain Scheduling LPV Control Scheme for the Autonomous Guidance Problem using a Dynamic Modelling Approach

3 citations · 5 across the 3 of their papers we have counts for

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5 papers

eess.SY2020

Fast Zonotope-Tube-based LPV-MPC for Autonomous Vehicles

Eugenio Alcala, Vicenc Puig, Joseba Quevedo +1

In this paper, we present an effective online tube-based model predictive control (T-MPC) solution for autonomous driving that aims at improving the computational load while ensuri…

eess.SY2020

TS-MPC for Autonomous Vehicle using a Learning Approach

Eugenio Alcalá, Olivier Sename, Vicenç Puig +1

In this paper, the Model Predictive Control (MPC) and Moving Horizon Estimator (MHE) strategies using a data-driven approach to learn a Takagi-Sugeno (TS) representation of the veh…

eess.SY2018

TS-MPC for Autonomous Vehicles including a dynamic TS-MHE-UIO

Eugenio Alcalá, Vicenç Puig, Joseba Quevedo

In this work, a novel approach is presented to solve the problem of tracking trajectories in autonomous vehicles. This approach is based on the use of a cascade control where the e…

eess.SY2017★ 3 cited

Gain Scheduling LPV Control Scheme for the Autonomous Guidance Problem using a Dynamic Modelling Approach

Eugenio Alcalá, Vicenç Puig, Joseba Quevedo +1

This work proposes a solution for the longitudinal and lateral control problem of urban autonomous vehicles using a gain scheduling LPV control approach. Using the kinematic and dy…

eess.SY2017★ 2 cited

Comparison of two non-linear model-based control strategies for autonomous vehicles

Eugenio Alcalá, Laura Sellart, Vicenç Puig +4

This paper presents the comparison of two non-linear model-based control strategies for autonomous cars. A control oriented model of vehicle based on a bicycle model is used. The t…