Recent Submissions

  • How Much Does It Cost to Go Off-Grid with Renewables? A Case Study of a Polygeneration System for a Neighbourhood in Hermosillo, Mexico 

    Wegener, Moritz; López Ordóñez, Carlos Fernando; Isalgué Buxeda, Antonio; Malmquist, Anders; Martin, Andrew (2019)
    Conference report
    Open Access
    As governments and companies struggle to meet their own objectives for the energy transition, more innovative social and technological measures are needed to reduce Greenhouse Gas (GHG) emissions. For this purpose, an ...
  • An Adaptive Predictive control scheme with dynamic Hysteresis Modulation applied to a DC-DC buck converter 

    Ponce de León Puig, Nubia Ilia; Bozalakov, Dimitar; Acho Zuppa, Leonardo; Vandevelde, Lieven; Rodellar Benedé, José (2020-05-18)
    Article
    Restricted access - publisher's policy
    This article proposes a recent Adaptive Predictive (AP) control technique applied to a DC-DC buck converter. This converter topology has a wide range of applications in the current electronic and electrical systems that ...
  • Cognitive system framework for brain-training exercise based on human-robot interactif 

    Andriella, Antonio; Torras, Carme; Alenyà Ribas, Guillem (2020-02-25)
    Article
    Restricted access - publisher's policy
    Every 3 seconds, someone develops dementia worldwide. Brain-training exercises, preferably involving also physical activity, have shown their potential to monitor and improve the brain function of people affected by Alzheimer ...
  • Human motion prediction via spatio-temporal inpainting 

    Hernández Ruiz, Alejandro José; Gall, Juergen; Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Conference report
    Open Access
    We propose a Generative Adversarial Network (GAN) to forecast 3D human motion given a sequence of past 3D skeleton poses. While recent GANs have shown promising results, they can only forecast plausible motion over relatively ...
  • Observer design for Takagi-Sugeno Lipschitz systems affected by disturbances using quadratic boundedness 

    Yang, Ruicong; Rotondo, Damiano; Puig Cayuela, Vicenç (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Conference report
    Open Access
    In this paper, a proportional observer design using quadratic boundedness is proposed in order to estimate the state of a system described by a Takagi-Sugeno model with a Lipschitz nonlinearity term, and affected by unknown ...
  • Set-based replay attack detection in closed-loop systems using a plug & play watermarking approach 

    Trapiello Fernández, Carlos; Puig Cayuela, Vicenç (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Conference report
    Open Access
    This paper presents a watermarking signal injection method that compensates its effect in the loop, avoiding thus the signal reinjection. Similar to a virtual actuator scheme, the proposed methodology masks the presence ...
  • TS-MPC for autonomous vehicles Including a TS-MHE-UIO estimator 

    Alcalá Baselga, Eugenio; Puig Cayuela, Vicenç; Quevedo Casín, Joseba Jokin (Institute of Electrical and Electronics Engineers (IEEE), 2019-07-01)
    Article
    Open Access
    In this paper, a novel approach is presented to solve the trajectory tracking problem for autonomous vehicles. This approach is based on the use of a cascade control where the external loop solves the position control using ...
  • Human-robot collaborative navigation search using social reward sources 

    Dalmasso Blanch, Marc; Garrell Zulueta, Anais; Jimenez Schlegl, Pablo; Sanfeliu Cortés, Alberto (2019)
    Conference report
    Open Access
    This paper proposes a Social Reward Sources (SRS) design for a Human-Robot Collaborative Navigation (HRCN) task: human-robot collaborative search. It is a flexible approach capable of handling the collaborative task, ...
  • Effects of a social force model reward in robot navigation based on deep reinforcement learning 

    Gil Viyuela, Óscar; Sanfeliu Cortés, Alberto (2019)
    Conference report
    Open Access
    In this paper is proposed an inclusion of the Social Force Model (SFM) into a concrete Deep Reinforcement Learning (RL) framework for robot navigation. These types of techniques have demonstrated to be useful to deal with ...
  • Adaptive PI control with robust variable structure anti-windup strategy for systems with rate-limited actuators: application to compression systems 

    Eldigair, Yousif; Garelli, Fabricio; Kunusch, Cristian; Ocampo-Martínez, Carlos (2020-03-01)
    Article
    Open Access
    In this paper, an adaptive proportional-integral (PI) control strategy for nonlinear systems with constrained actuators is discussed. In particular, a variable-structure anti-windup strategy that can be retro fitted onto ...
  • Modelling liquid water effect on proton-exchange membrane fuel cells 

    Aguilar Plazaola, José Agustín; Husar, Attila Peter (2019)
    Conference report
    Open Access
    This work introduces our ongoing research in developing accurate models for predicting and analyzing Proton-Exchange Membrane Fuel Cells performance. An initial model, whose response is compared with experimental data is ...
  • Ontologies for industry 4.0 

    Kumar, Veera Ragavan Sampath; Khamis, Alaa; Fiorini, Sandro; Carbonera, Joel Luís; Olivares Alarcos, Alberto; Habib, Maki K.; Goncalves, Paulo; Li, Howard; Olszewska, Joanna (2019-01-01)
    Article
    Open Access
    The current fourth industrial revolution, or ‘Industry 4.0’ (I4.0), is driven by digital data, connectivity, and cyber systems, and it has the potential to create impressive/new business opportunities. With the arrival of ...

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