Recent Submissions

  • Fault detection using data-driven LPV state estimation based on structural analysis and ANFIS 

    Fang, Xin; Blesa Izquierdo, Joaquim; Puig Cayuela, Vicenç (2023)
    Conference report
    Open Access
    This paper presents a data-driven fault detection method combining structural analysis (SA) and machine learning data-driven algorithms. Given a graphic (or textual) system description and the available inputs/outputs ...
  • A hybrid control-oriented PEMFC model based on echo state networks and gaussian radial basis functions 

    Aguilar Plazaola, José Agustín; Chanal, Damien; Chamagne, Didier; Yousfi-Steiner, Nadia; Péra, Marie-Cécile; Husar, Attila Peter; Andrade-Cetto, Juan (2024-01-01)
    Article
    Open Access
    The goal of increasing efficiency and durability of fuel cells can be achieved through optimal control of their operating conditions. In order to implement such controllers, accurate and computationally efficient fuel cell ...
  • Heteroscedastic Gaussian processes and random features: scalable motion primitives with guarantees 

    Caldarelli, Edoardo; Chatalic, Antoine; Colomé Figueras, Adrià; Rosasco, Lorenzo; Torras, Carme (Proceedings of Machine Learning Research (PMLR), 2023)
    Conference report
    Open Access
    Heteroscedastic Gaussian processes (HGPs) are kernel-based, non-parametric models that can be used to infer nonlinear functions with time-varying noise. In robotics, they can be employed for learning from demonstration as ...
  • Modelling and operation strategy approaches for on-site hydrogen refuelling stations 

    Cardona Rubio, Pol; Costa Castelló, Ramon; Roda, Vicente; Carroquino, Javier; Valiño Garcia, Luis; Ocampo-Martínez, Carlos; Serra, Maria (Elsevier, 2023-09-01)
    Article
    Open Access
    The number of Fuel Cell Electric Vehicles (FCEVs) in circulation has undergone a significant increase in recent years. This trend is foreseen to be stronger in the near future. In correlation with the FCEVs market increase, ...
  • State machine-based architecture to control system processes in a hybrid fuel cell electric vehicle 

    Molavi, Ali; Husar, Attila Peter; Hjortberg, Hampus; Nilsson, Niclas; Kogler, Markus; Monreal, Juan Sanchez; Eldigair, Yousif; Serra, Maria (Elsevier, 2023-07-20)
    Article
    Open Access
    This paper presents the development and implementation of a system supervisory controller in a hydrogen-based fuel cell electric vehicle. The controller's primary function is to ensure the safe control of the fuel cell ...
  • Population-dynamics-assisted coalitional model predictive control for parabolic-trough solar plants 

    Sánchez Amores, Ana; Martínez Piazuelo, Juan Pablo; Maestre Torreblanca, José María; Ocampo-Martínez, Carlos; Fernández Camacho, Eduardo; Quijano Silva, Nicanor (Elsevier, 2023)
    Conference report
    Open Access
    This paper proposes a coalitional model predictive control method for temperature regulation in parabolic-trough solar fields. The global optimization problem is divided into a set of local subproblems that will be solved ...
  • Microalgae production and maintenance optimization via mixed-integer model predictive control 

    Martínez Piazuelo, Juan Pablo; Ocampo-Martínez, Carlos; Quijano Silva, Nicanor; Ingimundarson, Ari (Elsevier, 2023)
    Conference report
    Open Access
    This paper studies the joint production and maintenance scheduling in microalgae manufacturing systems comprised of multiple machines, which are subject to coupled production demand agreements and operational maintenance ...
  • Improving human-robot interaction effectiveness in human-robot collaborative object transportation using force prediction 

    Domínguez Vidal, José Enrique; Sanfeliu Cortés, Alberto (Institute of Electrical and Electronics Engineers (IEEE), 2023)
    Conference report
    Restricted access - publisher's policy
    In this work, we analyse the use of a prediction of the human’s force in a Human-Robot collaborative object transportation task at a middle distance. We check that this force prediction can improve multiple parameters ...
  • A comparison between model-based and data-driven leak localization methods 

    Romero Ben, Luis; Blesa Izquierdo, Joaquim; Cembrano Gennari, Gabriela; Puig Cayuela, Vicenç (2023)
    Conference report
    Open Access
    Water networks are crucial infrastructures for the sustainability of modern cities, and hence their proper operation is of great importance. This includes the fast detection, localization and repair of leaks, which may ...
  • Quadratic dynamic matrix control for fast cloth manipulation 

    Caldarelli, Edoardo; Colomé Figueras, Adrià; Ocampo-Martínez, Carlos; Torras, Carme (Institute of Electrical and Electronics Engineers (IEEE), 2023)
    Conference report
    Open Access
    Robotic cloth manipulation is an increasingly relevant area of research, challenging classic control algorithms due to the deformable nature of cloth. While it is possible to apply linear model predictive control to make ...
  • Inference vs. explicitness. Do we really need the perfect predictor? The human-robot collaborative object transportation case 

    Domínguez Vidal, José Enrique; Sanfeliu Cortés, Alberto (2023)
    Conference report
    Restricted access - publisher's policy
    When robots interact with humans, limitations in their internal models arise due to the uncertainty and even randomness of human behavior. This has led to attempts to predict human future actions and infer their intent. ...
  • Zonotopic-tube-based LPV motion planner for safety coordination of autonomous vehicles 

    Carrizosa Rendón, Álvaro; Puig Cayuela, Vicenç; Nejjari Akhi-Elarab, Fatiha (2023)
    Conference report
    Open Access
    In this paper an optimization-based solution to the collision avoidance challenge for autonomous vehicles is proposed. The presented approach consists in an online motion planner designed to define a feasible and efficient ...

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