In this study, the authors present an effective online tube-based model predictive control (T-MPC) solution for autonomous driving that aims at improving the computational load while ensuring robust stability and performance ...

Critical infrastructure systems (CIS) are complex large-scale systems which in turn require highly sophisticated supervisory control systems to ensure that high performance can be achieved and maintained under adverse ...

This paper proposes a model-based fault diagnosis and prognosis approach applied to brushless DC motors (BLDC). The objective is an early detection of mechanical and electrical faults in BLDC motors operating under a variety ...

Flooding prevention and control in rivers is a important topic in the river management. This is also the case in the basin of the river Ebro in Spain. In the past, the Ebro basin experienced several floods. In order to ...

This paper presents a benchmark for the detection and isolation of cyber attacks, which is a non-linear controlled interconnected system based on a two tank system. In this benchmark, a malicious attacker wants to remain ...

This study presents a solution for the integrated longitudinal and lateral control problem of urban autonomousvehicles. It is based on a gain-scheduling linear parameter-varying (LPV) control ...

Este artículo presenta los resultados de un trabajo colaborativo entre la empresa de servicios Nedgia S.A. del grupo Naturgy, las empresas tecnológicas IDP, Worldsensing y el centro de investigación CS2AC de la UPC en el ...

In this paper, a decision-support tool named HYDROPTIM has been developed that allows the flow management in a large scale water systems including reservoirs, open channels for water transport, water treatment plants, ...

In this paper, a data detection/correction approach is proposed for a real environmental monitoring system, in order to provide a reliable dataset when sensor faults occur. This is the case of communication faults that may ...