El Grup de Recerca en sistemes Intel·ligents de Control (SIC) és un grup multidisciplinari de professors de la Universitat Politècnica de Catalunya (UPC) - Barcelona Tech dedicat a l'ampli món del control automàtic i la supervisió de sistemes.
L’objectiu principal del SIC és contribuir a la competitivitat de les nostres empreses i al coneixement científic i tècnic. Els investigadors del SIC descriuen els sistemes dinàmics mitjançant models matemàtics, analitzen dinàmicament el seu comportament en domini temporal i freqüencial, localitzen de forma òptima sensors, dissenyen sistemes de control avançats (controladors predictius, controladors intel·ligents,..) i desenvolupen sistemes de supervisió que optimitzen criteris de funcionament sota diverses restriccions amb capacitat per predir, detectar i diagnosticar fallades i amb capacitat per crear mecanismes tolerants a possibles fallades en temps real dels sistemes complexes.

http://futur.upc.edu/SIC

Enviaments recents

  • La evaluación continua: una aportación a como corregir algunos efectos negativos 

    Domingo Peña, Joan; Segura Casanovas, Joan; Grau Saldes, Antoni (2018-01)
    Article
    Accés obert
  • Sensor placement for classifier-based leak localization in water distribution networks 

    Soldevila Coma, Adrià; Blesa Izquierdo, Joaquim; Tornil Sin, Sebastián; Fernández Canti, Rosa M.; Puig Cayuela, Vicenç (Springer, 2017-05-23)
    Capítol de llibre
    Accés restringit per política de l'editorial
  • Economic model predictive control for energy dispatch of a smart microgrid system 

    Nassourou, M; Puig Cayuela, Vicenç; Blesa Izquierdo, Joaquim; Ocampo-Martínez, Carlos (2017)
    Text en actes de congrés
    Accés obert
    The problem of energy dispatch in heterogeneous complex systems such as smart grids cannot be efficiently solved using classical control or ad-hoc methods. This paper proposes the application of Economic Model Predictive ...
  • Fault estimation in wind turbines using a joint fault and state estimation scheme 

    Witczak, Marcin; Rotondo, Damiano; Puig Cayuela, Vicenç; Nejjari Akhi-Elarab, Fatiha; Pazera, Marcin (2017)
    Article
    Accés restringit per política de l'editorial
    This paper addresses the problem of fault estimation in wind turbines using a joint fault and state estimation scheme. The scheme assumes a set of possible faults affecting the dynamics of the wind turbine. Then, a combined ...
  • Reliability computation within an MPC health-aware framework 

    Salazar Cortés, Jean Carlo; Sarrate Estruch, Ramon; Nejjari Akhi-Elarab, Fatiha; Weber, Philipe; Theilliol, Didier (2017-07-01)
    Article
    Accés obert
    This paper presents a comparison between two different approaches for reliability consideration within a Health-Aware Control framework which takes into account system and component reliability by means of reliability ...
  • Optimal design of a wastewater treatment plant using advanced technologies 

    Puig Cayuela, Vicenç; Romera Formiguera, Juli; Nejjari Akhi-Elarab, Fatiha; Quevedo Casín, Joseba Jokin; de Campos Paus, Sergio (2017)
    Text en actes de congrés
    Accés restringit per política de l'editorial
    n this paper, a methodology and software tool for the optimal design of advanced waste treatment plants is presented. The problem of the design of the WWTP is translated into a discrete optimization problem. As a result, ...
  • Detection of icing and actuator faults in the longitudinal dynamics of small UAVs using an LPV proportional integral unknown input observer 

    Rotondo, Damiano; Cristofaro, Andrea; Johansen, Tor Arne; Nejjari Akhi-Elarab, Fatiha; Puig Cayuela, Vicenç (2016)
    Text en actes de congrés
    Accés obert
    This paper proposes a linear parameter varying proportional integral unknown input observer (PI-UIO) for the diagnosis of actuator faults and icing in unmanned aerial vehicles. It is shown that in presence of sensor noise, ...
  • State estimation and decoupling of unknown inputs in uncertain LPV systems using interval observers 

    Rotondo, Damiano; Cristofaro, Andrea; Johansen, Tor Arne; Nejjari Akhi-Elarab, Fatiha; Puig Cayuela, Vicenç (2017-06-13)
    Article
    Accés restringit per política de l'editorial
    This paper proposes a linear parameter varying (LPV) interval observer for state estimation and unknown inputs decoupling in uncertain continuous-time LPV systems. Two different problems are considered and solved: (1) the ...
  • Fault diagnosis 

    Escobet Canal, Teresa; Sarrate Estruch, Ramon; Comasòlivas Font, Ramon (Springer, 2017)
    Capítol de llibre
    Accés restringit per política de l'editorial
    This book presents a set of approaches for the real-time monitoring and control of drinking-water networks based on advanced information and communication technologies. It shows the reader how to achieve significant ...
  • Robust Periodic Economic Predictive Control based on Interval Arithmetic for Water Distribution Networks 

    Wang, Ye; Blesa Izquierdo, Joaquim; Puig Cayuela, Vicenç (2017-07-01)
    Article
    Accés obert
    This paper addresses a robust periodic economic model predictive control (EMPC) based on interval arithmetic with unknown-but-bounded additive disturbances for the management of water distribution networks (WDNs). The ...
  • Optimal Management of Water and Energy in Irrigation Systems: Application to the Bardenas Canal 

    Galindo, J.; Torok, S.; Salguero, F.; de Campos Paus, Sergio; Romera Formiguera, Juli; Puig Cayuela, Vicenç (2017-07-01)
    Article
    Accés obert
    This paper presents a methodology for the optimal management of water and energy in irrigation systems. A two-layer management scheme is proposed. In the upper layer, an optimal control strategy is used to plan how to serve ...
  • Diagnosis of icing and actuator faults in UAVs using LPV unknown input observers 

    Rotondo, Damiano; Cristofaro, Andrea; Johansen, Tor Arne; Nejjari Akhi-Elarab, Fatiha; Puig Cayuela, Vicenç (2017-10-05)
    Article
    Accés restringit per política de l'editorial
    This paper proposes a discrete-time linear parameter varying (LPV) unknown input observer (UIO) for the diagnosis of actuator faults and ice accretion in unmanned aerial vehicles (UAVs). The proposed approach, which is ...

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