Recent Submissions

  • Active-power voltage-support for a microgrid under short-circuits, modelled in complex valued domain 

    Iñiguez Amigot, José Ignacio; Miret Tomàs, Jaume; Camacho Santiago, Antonio; Chico Villegas, José Pascual (2023)
    Conference report
    Restricted access - publisher's policy
    The growing number of electric vehicles (EVs) connected to the grid are a promising potential to support the overall system stability, known as vehicle to grid concept. During grid faults these vehicles can be seen as ...
  • Model predictive control for an LCL voltage source inverter with active damping capability and current limitation 

    Chico Villegas, José Pascual; Guzmán Solà, Ramon; García de Vicuña Muñoz de la Nava, José Luis; Miret Tomàs, Jaume; Castilla Fernández, Miguel; Komurcugil, Hasan (2023)
    Conference report
    Restricted access - publisher's policy
    This paper presents a model predictive control (MPC) for a grid-connected voltage source inverter (VSI) with current limitation. The control algorithm is performed in the dq frame to obtain the amplitude of the inverter ...
  • PoseFix: correcting 3D human poses with natural language 

    Delmas, Ginger; Weinzaepfel, Philippe; Moreno-Noguer, Francesc; Rogez, Grégory (Institute of Electrical and Electronics Engineers (IEEE), 2023)
    Conference report
    Open Access
    Automatically producing instructions to modify one’s posture could open the door to endless applications, such as personalized coaching and in-home physical therapy. Tackling the reverse problem (i.e., refining a 3D pose ...
  • Introducing social robots to assess frailty in older adults 

    Civit Bertran, Aniol; Andriella, Antonio; Barrué Subirana, Cristian; Antonio, Maite; Boqué, Concepción; Alenyà Ribas, Guillem (2024)
    Conference lecture
    Open Access
    Frailty is a crucial indicator in determining the well-being of older adults in terms of their health. With the growing number of elderly people, the demand for geriatricians is increasing, which means that they have less ...
  • Adaptive human-robot collaboration: evolutionary learning of action costs using an action outcome simulator 

    Izquierdo Badiola, Silvia; Alenyà Ribas, Guillem; Rizzo, Carlos (2023)
    Conference report
    Open Access
    One of the main challenges for successful human- robot collaborative applications lies in adapting the plan to the human agent’s changing state and preferences. A promising solution is to bridge the gap between agent ...
  • Job shop scheduling with limited-capacity buffers using constraint programming and genetic algorithms 

    Pedrosa Alias, Javier; Puig Cayuela, Vicenç (2023)
    Conference report
    Open Access
    This article aims to propose a new approach for solving production planning and scheduling in the process industries, in such a way to be adaptable to any manufacturing plant and exploring the use of innovative AI-style ...
  • Robust tube-based TS-MPC for safe coordination of autonomous vehicle 

    Requena Gallego, José; Puig Cayuela, Vicenç (2023)
    Conference report
    Open Access
    In this work, a robust vehicle control scheme is proposed, which is capable of coordinating with nearby vehicles in order to optimally compute control actions that achieve collision-free overtaking maneuvers. The control ...
  • Zonotopic set-membership state estimation for switched LPV systems 

    Zhang, Shuang; Puig Cayuela, Vicenç; Ifqir, Sara
    Conference report
    Open Access
    This paper addresses the state estimation problem for switched discrete-time Linear Parameter Varying (LPV) systems with mensurable and unmeasurable scheduling parameters. A zonotopic switched polytopic state estimator, ...
  • 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 ...
  • 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 ...
  • 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 ...

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