El grup SAC és un grup de recerca de la UPC actiu des del 1990 i l'any 2014 va ser reconegut com a grup de recerca consolidat. Des del seu inici, l'activitat científica del grup gira a l'entorn de temes relacionats amb la Supervisió, Seguretat i el Control Automàtic de sistemes i infraestructures crítiques.
Actualment, l'activitat científica del grup està organitzada a l'entorn dels següents temes:
- Mineria, validació correcció i fusió de dades heterogènies al el suport de informació cognitiva;
- Disseny de sistemes de diagnosis i control tolerants a fallades, resilients i segurs;
- Prognosis per estimar la salut dels sistemes i desenvolupar metodologies de manteniment predictiu.
- Disseny de sistemes de control òptim i gestió optimitzada de la producció
- Planificació de trajectòries i guiatge de vehicles autònoms.
Dins d'aquests àmbits el grup SAC està reconegut internacionalment fet que ho demostra el gran nombre de col·laboracions internacionals que té.

The group aim is to carry out applied research in the following areas: - Modelling, identification and simulation of continuous and discontinuous industrial processes
- Advanced control of dynamic systems
- Optimisation and constraint satisfaction
- Supervision and fault diagnosis of industrial processes and systems
- Fault-tolerant control; and related subjects.
The aim is to devise software applications that increase the reliability and performance of processes and systems on the basis of this research.

The group aim is to carry out applied research in the following areas: - Modelling, identification and simulation of continuous and discontinuous industrial processes
- Advanced control of dynamic systems
- Optimisation and constraint satisfaction
- Supervision and fault diagnosis of industrial processes and systems
- Fault-tolerant control; and related subjects.
The aim is to devise software applications that increase the reliability and performance of processes and systems on the basis of this research.

Enviaments recents

  • Mixed active/passive robust fault detection and isolation using set-theoretic unknown input observers 

    Xu, Feng; Tan, Junbo; Wang, Xueqian; Puig Cayuela, Vicenç; Liang, Bin; Yuan, Bo (2017-12-19)
    Article
    Accés obert
    IEEE This paper proposes a robust fault detection and isolation (FDI) approach that combines active and passive robust FDI approaches. Standard active FDI approaches obtain robustness by using the unknown input observer ...
  • Sensor placement for classifier-based leak localization in water distribution networks using hybrid feature selection 

    Soldevila Coma, Adrià; Blesa Izquierdo, Joaquim; Tornil Sin, Sebastián; Fernández Canti, Rosa M.; Puig Cayuela, Vicenç (Pergamon Press, 2018-01-04)
    Article
    Accés obert
    This paper presents a sensor placement approach for classifier-based leak localization in water distribution networks. The proposed method is based on a hybrid feature selection algorithm that combines the use of a filter ...
  • Online leak diagnosis in pipelines using an EKF-based and steady-state mixed approach 

    Santos Ruiz, Ildeberto de los; Bermúdez, Josu R.; López Estrada, Francisco Ronay; Puig Cayuela, Vicenç (2018-12-01)
    Article
    Accés restringit per política de l'editorial
    This paper proposes a methodology for leak detection and isolation (LDI) in pipelines based on data fusion from two approaches: a steady-state estimation and an Extended Kalman Filter (EKF). The proposed method considers ...
  • Actuator fault tolerance evaluation approach of nonlinear model predictive control systems using viability theory 

    Ghaniee Zarch, Majid; Puig Cayuela, Vicenç; Poshtan, Javad (2018-11-01)
    Article
    Accés restringit per política de l'editorial
    In this paper, an approach to evaluate the actuator fault tolerance of a nonlinear model predictive control (NMPC) system using viability theory is proposed. Viability theory provides several concepts formulated in a set ...
  • Adaptive estimation of time-varying parameters with application to roto-magnet plant 

    Na, Jing; Xing, Yashan; Costa Castelló, Ramon (Institute of Electrical and Electronics Engineers (IEEE), 2018-12-10)
    Article
    Accés obert
    This paper presents an alternative adaptive parameter estimation framework for nonlinear systems with time-varying parameters. Unlike existing techniques that rely on the polynomial approximation of time-varying parameters, ...
  • Modeling of interconnected flat open-channel flow : application to inland navigation canals 

    Segovia Castillo, Pablo; Rajaoarisoa, Lala H.; Nejjari Akhi-Elarab, Fatiha; Puig Cayuela, Vicenç; Duviella, Eric (2018-10-01)
    Article
    Accés restringit per política de l'editorial
    Inland navigation networks are composed of several artificial canals, usually characterized by no slope. These canals are large-scale systems that can be accurately described by means of the nonlinear Saint-Venant partial ...
  • Diagnosis of fluid leaks in pipelines using dynamic PCA? 

    Santos Ruiz, Ildeberto de los; López Estrada, Francisco Ronay; Puig Cayuela, Vicenç (2018-01-01)
    Article
    Accés restringit per política de l'editorial
    In this paper, a data-driven system based on PCA is described to detect and quantify fluid leaks in an experimental pipeline. A dynamic PCA implementation (DPCA) was used to capture the process dynamics because the system ...
  • Leakage localization in water distribution using data-driven models and sensitivity analysis 

    Jensen, Tom Nørgaard; Puig Cayuela, Vicenç; Romera Formiguera, Juli (2018-01-01)
    Article
    Accés restringit per política de l'editorial
    Water scarcity is becoming an increasing problem worldwide, and an issue compounding the problem is water leakage in the piping networks delivering potable/consumable water to end-users (Sensus, 2012). In this paper, we ...
  • Zonotopic state estimation and fault detection for systems with time-invariant uncertainties ¿ 

    Wang, Zhenhua; Tang, Wentao; Zhang, Qinghua; Puig Cayuela, Vicenç (2018-01-01)
    Article
    Accés restringit per política de l'editorial
    This paper proposes a robust guaranteed state estimation method with application to fault detection by combining H8 observer design with zonotopic analysis for discrete-time systems with both time-variant and time-invariant ...
  • Robust fault estimation based on interval Takagi-Sugeno unknown input observer 

    Martínez García, C; Puig Cayuela, Vicenç; Astorga, C (2018-01-01)
    Article
    Accés restringit per política de l'editorial
    This paper proposes a discrete-time robust fault estimation scheme based on an interval Takagi-Sugeno Unknown Input Observer (UIO). The designed observer allows the interval estimation of states and faults by considering ...
  • Fault detection and isolation using viability theory and interval observers 

    Ghaniee Zarch, Majid; Puig Cayuela, Vicenç; Poshtan, Javad; Shoorehdeli, Mahdi (2018-01-01)
    Article
    Accés restringit per política de l'editorial
    This paper proposes the use of interval observers and viability theory in fault detection and isolation (FDI). Viability theory develops mathematical and algorithmic methods for investigating the viability constraints ...
  • Assessment of energy management in a fuel cell/battery hybrid vehicle 

    Carignano, Mauro; Roda Serrat, Vicente; Costa Castelló, Ramon; Valiño, Luis; Lozano Fantoba, Antonio; Barreras Toledo, Felix Manuel (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Article
    Accés restringit per política de l'editorial
    The energy management strategy plays a major role in hybrid platforms powered by fuel cells (FCs) and batteries. This paper presents an assessment of energy management focused on fuel economy and battery degradation. ...

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