Enviaments recents

  • Economic MPC with periodic terminal constraints of nonlinear differential-algebraic-equation systems: Application to drinking water networks 

    Wang, Ye; Puig Cayuela, Vicenç; Cembrano Gennari, Gabriela (2016)
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    In this paper, an Economic Model Predictive Control (EMPC) strategy with periodic terminal constraints is addressed for nonlinear differential-algebraic-equation systems with an application to Drinking Water Networks (DWNs). ...
  • Robust optimization based energy dispatch in smart grids considering demand uncertainty 

    Nassourou, M; Puig Cayuela, Vicenç; Blesa Izquierdo, Joaquim (2016)
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    In this study we discuss the application of robust optimization to the problem of economic energy dispatch in smart grids. Robust optimization based MPC strategies for tackling uncertain load demands are developed. ...
  • Sensor placement for leak monitoring in drinking water networks combining clustering techniques and a semi-exhaustive search 

    Sarrate Estruch, Ramon; Blesa Izquierdo, Joaquim; Nejjari Akhi-Elarab, Fatiha (2016)
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    Accés restringit per política de l'editorial
    This paper presents an optimal sensor placement strategy based on pressure sensitivity matrix analysis and a semi-exhaustive search strategy that maximizes some diagnosis specifications for water distribution networks. A ...
  • Decentralized fault-tolerant control of inland navigation networks: a challenge 

    Segovia, Pablo; Rajaoarisoa, Lala H.; Nejjari Akhi-Elarab, Fatiha; Blesa Izquierdo, Joaquim; Puig Cayuela, Vicenç; Duviella, Eric (2016)
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    Inland waterways are large-scale networks used principally for navigation. Even if the transport planning is an important issue, the water resource management is a crucial point. Indeed, navigation is not possible when ...
  • A methodology for distributed fault diagnosis 

    Gupta, Vikas; Puig Cayuela, Vicenç; Blesa Izquierdo, Joaquim (2016)
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    Accés restringit per política de l'editorial
    In this paper, a methodology for distributed fault diagnosis is proposed. The algorithm places the sensors in a system in such a manner that the partition of a system into various subsystems becomes ...
  • HRA*: hybrid randomized path planning for complex 3D environments 

    Teniente Avilés, Ernesto Homar; Andrade-Cetto, Juan (Institute of Electrical and Electronics Engineers (IEEE), 2013)
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    We propose HRA*, a new randomized path planner for complex 3D environments. The method is a modified A* algorithm that uses a hybrid node expansion technique that combines a random exploration of the action space meeting ...
  • Modeling robot's world with minimal effort 

    Villamizar Vergel, Michael Alejandro; Garrell Zulueta, Anais; Sanfeliu Cortés, Alberto; Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2015)
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    We propose an efficient Human Robot Interaction approach to efficiently model the appearance of all relevant objects in robot’s environment. Given an input video stream recorded while the robot is navigating, the user just ...
  • Neuroaesthetics in fashion: modeling the perception of fashionability 

    Simó Serra, Edgar; Fidler, Sanja; Moreno-Noguer, Francesc; Urtasun, Raquel (2015)
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    In this paper, we analyze the fashion of clothing of a large social website. Our goal is to learn and predict how fashionable a person looks on a photograph and suggest subtle improvements the user could make to improve ...
  • Learning shape, motion and elastic models in force space 

    Agudo Martínez, Antonio; Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2015)
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    In this paper, we address the problem of simultaneously recovering the 3D shape and pose of a deformable and potentially elastic object from 2D motion. This is a highly ambiguous problem typically tackled by using low-rank ...
  • Lie algebra-based kinematic prior for 3D human pose tracking 

    Simó Serra, Edgar; Torras, Carme; Moreno-Noguer, Francesc (2015)
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    We propose a novel kinematic prior for 3D human pose tracking that allows predicting the position in subsequent frames given the current position. We first define a Riemannian manifold that models the pose and extend it ...

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