activity
20172023
most citedFault Handling in Large Water Networks with Online Dictionary Learning

19 citations · 52 across the 9 of their papers we have counts for

collaborators

11 papers

cs.RO2023★ 15 cited

A Nonlinear Model Predictive Control Strategy for Autonomous Racing of Scale Vehicles

Vittorio Cataffo, Giuseppe Silano, Luigi Iannelli +2

A Nonlinear Model Predictive Control (NMPC) strategy aimed at controlling a small-scale car model for autonomous racing competitions is presented in this paper. The proposed contro…

cs.RO2022

Condition-based Design of Variable Impedance Controllers from User Demonstrations

Alberto San-Miguel, Guillem Alenyà, Vicenç Puig

This paper presents an approach to ensure conditions on Variable Impedance Controllers through the off-line tuning of the parameters involved in its description. In particular, we…

cs.LG2021

Data-driven Leak Localization in Water Distribution Networks via Dictionary Learning and Graph-based Interpolation

Paul Irofti, Luis Romero-Ben, Florin Stoican +1

In this paper, we propose a data-driven leak localization method for water distribution networks (WDNs) which combines two complementary approaches: graph-based interpolation and d…

math.OC2020★ 12 cited

Hierarchical Decentralized Reference Governor using Dynamic Constraint Tightening for Constrained Cascade Systems

Shahram Aghaei, Abolghasem Daeichian, Vicenç Puig

This paper proposes a hierarchical decentralized reference governor for constrained cascade systems. The reference governor (RG) approach is reformulated in terms of receding horiz…

eess.SY2020★ 1 cited

Chance-constrained Stochastic MPC of Astlingen Urban Drainage Benchmark Network

Jan Lorenz Svensen, Congcong Sun, Gabriela Cembrano +1

In urban drainage systems (UDS), a proven method for reducing the combined sewer overflow (CSO) pollution is real-time control (RTC) based on model predictive control (MPC). MPC me…

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…