A Multi-agent Architecture with Distributed Coordination for an Autonomous Robot 

    Innocenti, Bianca (Date of defense: 2008-11-17)

    Aquest treball proposa una nova arquitectura de control amb coordinació distribuïda per a un robot mòbil (ARMADiCo). La metodologia de coordinació distribuïda consisteix en dos passos: el primer determina quin és l'agent ...

    Data-driven approaches for event detection, fault location, resilience assessment, and enhancements in power systems 

    Souto, Laiz (Date of defense: 2021-01-15)

    This thesis presents the study and development of distinct data-driven techniques to support event detection, fault location, and resilience assessment towards enhancements in power systems. It is divided in three main ...

    Data-driven models for type 1 diabetes using generative deep learning 

    Mujahid, Omer (Date of defense: 2023-09-19)

    Modeling biological systems has always been challenging given the complexity of the processes involved in them. Experts have been employing physiological models to approximate the dynamics of biological systems; however, ...

    Desarrollo de algoritmos de control para terapia MDI en pacientes con diabetes tipo 1 

    Estremera Toledo, Ernesto (Date of defense: 2023-07-18)

    Diabetes Mellitus (DM) is considered one of the fastest-growing global health emergencies in the XXI century. According to the World Health Organization, it was estimated in 2021 that 537 million people were suffering from ...

    Introspection on control-grounded capabilities. An agent inspired approach for control 

    Quintero Monroy, Christian G. (Date of defense: 2007-10-18)

    Introspecció sobre la dinàmica dels agents té un important impacte en decisions individuals i cooperatives en entorns multi-agent. Introspecció, una habilitat cognitiva provinent de la metàfora "agent", permet que els ...

    Método para descubrir patrones espacio-temporales de comportamiento de usuarios eléctricos utilizando herramientas de aprendizaje automático 

    Flor Ambrosi, Mario Alberto (Date of defense: 2021-10-27)

    This research presents a novel approach to define geographic areas with typical electricity consumption profiles from smart meter records, using machine learning and spatial analysis methods. Distribution system operators ...

    Modelling of electric vehicle user profiles for flexibility management and charging infrastructure planning 

    Cañigueral Maurici, Marc (Date of defense: 2023-10-10)

    The transition to electric mobility is facing multiple challenges, usually associated with the roll-out of the charging infrastructure. On one hand, cities must develop a charging infrastructure that meets the user needs ...

    Predicción probabilística de estados glucémicos para pacientes con diabetes tipo 1 mediante el análisis de datos composicionales 

    Cabrera Tejera, Alvis (Date of defense: 2023-09-20)

    Diabetes mellitus (DM) is a chronic disease that affects a large number of people worldwide, making it a global pandemic. Type 1 diabetes (T1D) accounts for approximately 10 % of all cases. It is characterized by autoimmune ...

    Robust and fault-tolerant strategies for controlling blood glucose in patients with type 1 diabetes 

    Beneyto Tantiña, Aleix (Date of defense: 2020-12-02)

    Type 1 diabetes is a serious disease that must be monitored and controlled artificially by supplying exogenous insulin to the body. The artificial pancreas (AP) is a closed-loop system that resulted from integrating an ...