• Reducing energy consumption in an industrial process by using model predictive control 

      Caiza Chicaiza, Luis Alberto; Rosich Oliva, Albert; Ocampo-Martínez, Carlos; Benitez, Diego (Institute of Electrical and Electronics Engineers (IEEE), 2017)
      Text en actes de congrés
      Accés obert
      In this paper, we propose to use Model Predictive Control techniques to reduce the energy consumption in an industrial process by incorporating energy consumption restrictions in the problem formulation. We propose to use ...
    • Sensor placement for fault diagnosis based on structural models: application to a fuel cell stak system 

      Rosich Oliva, Albert (Universitat Politècnica de Catalunya, 2011-06-03)
      Tesi
      Accés obert
      The present work aims to increase the diagnosis systems capabilities by choosing the location of sensors in the process. Therefore, appropriate sensor location will lead to better diagnosis performance and implementation ...
    • Sensor placement for fault diagnosis performance maximization in distribution networks 

      Sarrate Estruch, Ramon; Nejjari Akhi-Elarab, Fatiha; Rosich Oliva, Albert (2012)
      Text en actes de congrés
      Accés restringit per acord de confidencialitat
      The success of any diagnosis strategy critically depends on the sensors measuring process variables. This paper presents a strategy based on diagnosability maximization for optimally locating sensors in distribution ...
    • Sensor placement for fault diagnosis performance maximization under budgetary constraints 

      Sarrate Estruch, Ramon; Nejjari Akhi-Elarab, Fatiha; Rosich Oliva, Albert (2012)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      The success of any diagnosis strategy critically depends on the sensors measuring process variables. This paper presents a strategy based on diagnosability maximization for optimally locating sensors in distribution networks. ...