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Recent Submissions
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Set-based estimation of battery end of discharge for electric vehicles
(Elsevier, 2024)
Conference report
Open AccessThis paper proposes a robust end-of-discharge prognosis procedure for the battery system of electric vehicles. As the state-of-charge of the battery system is dependent on an unmeasurable state of the vehicle lateral ... -
Nodal hydraulic head estimation through Unscented Kalman Filter for data-driven leak localization in water networks
(Elsevier, 2024)
Conference report
Open AccessIn this paper, we present a nodal hydraulic head estimation methodology for water distribution networks (WDN) based on an Unscented Kalman Filter (UKF) scheme with application to leak localization. The UKF refines an initial ... -
H8 control experiments for increasing H2 purity in high-pressure alkaline electrolyzers
(Institute of Electrical and Electronics Engineers (IEEE), 2024)
Conference report
Open AccessIn this paper, an H8 control strategy is implemented in a prototype alkaline electrolyzer to maintain equalized the liquid levels in the separations chambers while following a pressure reference. The aim is to minimize the ... -
Non-linear distributed MPC coordination of autonomous vehicles using optimality condition decomposition
(Institute of Electrical and Electronics Engineers (IEEE), 2024)
Conference report
Open AccessIn this paper, a novel non-linear distributed MPC coordination scheme for autonomous vehicles based on the Optimality Condition Decomposition (OCD) algorithm is proposed. As result, a local planner for each vehicle is ... -
Leak learning for graph-based state interpolation in water distribution networks
(Institute of Electrical and Electronics Engineers (IEEE), 2024)
Conference report
Open AccessGraph-based state interpolation (GSI) is a state-of-the-art state reconstruction technique that operates over water distribution networks (WDN). This method retrieves the complete hydraulic state (nodal heads) of the network ... -
An encrypted model predictive control strategy for resilience operations
(2024)
Conference report
Open AccessIn this paper, a resilient model predictive control architecture is proposed for constrained cloud-based networked control systems subject to false data injections on both the controller-to-actuator and sensor-to-controller ... -
Quadrotor control using a multilayer MPC-MHE scheme based on LPV and feedback linearization approaches
(Institute of Electrical and Electronics Engineers (IEEE), 2024)
Conference report
Open AccessThis paper presents an MPC-based control scheme for unmanned aerial vehicles (UAVs) of quadrotor type that can operate in real-time. The proposed approach is based on a multi-layer model predictive control architecture ... -
Multiscale Kernel PCA for fault detection in autonomous vehicule
(Institute of Electrical and Electronics Engineers (IEEE), 2024)
Conference report
Open AccessThe safe and reliable operation of autonomous vehicles heavily relies on the precise identification and diagnosis of faults within their systems. Multiscale Kernel Principal Component Analysis (MSKPCA) model is well ... -
Distributed set-based localisation in autonomous vehicles
(Institute of Electrical and Electronics Engineers (IEEE), 2024)
Conference report
Open AccessIn this paper, a novel distributed set-based localisation algorithm for autonomous vehicles based on zonotopes is proposed. The proposed approach structurally allows embedding data fusion locally and in a vehicle-to-vehicle ... -
Coordination of autonomous vehicles using a mixed-integer LPV-MPC planner
(Institute of Electrical and Electronics Engineers (IEEE), 2024)
Conference report
Open AccessThis work addresses the problem of coordinating multiple autonomous vehicles. In particular, an optimal planner based on Model Predictive Control (MPC) is designed for each vehicle, using the linear parameter-varying (LPV) ... -
Collision avoidance in pedestrian-rich environments using deep learning
(Institute of Electrical and Electronics Engineers (IEEE), 2024)
Conference report
Open AccessThe aim of this work is to study how Deep Learning approaches solve safety problems in the interaction between autonomous vehicles and pedestrians. Three object detection algorithms based on Deep Learning are proposed. ... -
Optimised partial remixing procedure for mitigating capacity loss of imbalanced vanadium flow batteries
(International Flow Battery Forum, 2024)
Conference report
Restricted access - publisher's policyElectrolyte imbalance is the main cause of capacity loss in Vanadium Flow Batteries (VFB). Imbalance can be classified into “stoichiometric imbalance” (or “mass imbalance”) and “faradaic imbalance” (or “oxidative/reductive ...
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