Recent Submissions

  • A feedback simulation procedure for real-time control of urban drainage systems 

    Romero Ben, Luis; Sun, Congcong; Guasch Palma, Ramon; Duran, Bernat Joseph; Meseguer, Jordi; Cembrano Gennari, Gabriela; Puig Cayuela, Vicenç (Elsevier, 2019)
    Conference report
    Open Access
    This paper presents a feedback simulation procedure for the real-time control (RTC) of urban drainage systems (UDS) with the aim of providing accurate state evolutions to the RTC optimizer as well as illustrating the ...
  • Diagnosis and fault-tolerant control of critical infrastructures 

    Puig Cayuela, Vicenç (Springer, 2017)
    Conference report
    Restricted access - publisher's policy
    In modern societies, the reliable and continuous operation of certain infrastructures plays a fundamental role in the quality of life, economic development and security of nations. This paper presents several approaches ...
  • A communication-based distributed model predictive control approach for large-scale systems 

    Segovia Castillo, Pablo; Rajaoarisoa, Lala H.; Duviella, Eric; Puig Cayuela, Vicenç (2019)
    Conference report
    Open Access
    This work presents a distributed model predictive control strategy as an alternative to conventional centralized approaches, which often suffer from implementation issues when applied to large-scale systems. The overall ...
  • PEM automotive stack model with experimental validation 

    Gomez Pomar, Juan Carlos; Dombrovski, Johanna Katharina; Serra, Maria; Husar, Attila Peter (2019)
    Conference report
    Open Access
    Dynamic models of PEM stacks are the basis to design controllers for appropriate performance, maximum efficiency and minimum degradation. Fluid dynamic models of different dimensions can be found in the literature; however, ...
  • Energy consumption dynamical models for smart factories based on subspace identification methods 

    Bermeo Ayerbe, Miguel Ángel; Ocampo-Martínez, Carlos (2019)
    Conference report
    Open Access
    Given the need of implementing methodologies in industry for the reduction of the energy consumption costs, it is required to create modelling methodologies that, together with the use of new technologies, will allow ...
  • Phenomenological based model of hydrogen production using an alkaline self-pressurized electrolyzer 

    David, Martín Rafael; Alvarez Zapata, Hernán Darío; Ocampo-Martínez, Carlos; Sánchez Peña, Ricardo Salvador (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Conference report
    Open Access
    The aim of this work is to develop the phenomenological based modeling of a self-pressurized alkaline electrolyser with the objective of predicting the cross-contamination of the gases produced. A proposed model, built in ...
  • Reconfigurability analysis of multirotor UAVs under actuator faults 

    Sanjuan Gómez, Adrián; Nejjari Akhi-Elarab, Fatiha; Sarrate Estruch, Ramon (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Conference report
    Restricted access - publisher's policy
    This paper presents a reconfigurability analysis for different multirotor structures. The aim is to determine whether the multirotor is able to continue the mission without losing its controllability when faults occur in ...
  • Time evolution pattern analysis for cyber attack detection in a two-tank benchmark 

    Quevedo Casín, Joseba Jokin; Sánchez Corrales, Helem Sabina; Rotondo, Damiano; Escobet Canal, Teresa; Puig Cayuela, Vicenç (2019)
    Conference report
    Open Access
    This paper presents some results related to the detection and isolation of cyber attacks in a recently proposed benchmark based on a two-tank system. The benchmark proposes some attack scenarios in which a malicious attacker ...
  • Leak localization in water distribution networks using deep learning 

    Javadiha, Mohammadreza; Blesa Izquierdo, Joaquim; Soldevila Coma, Adrià; Puig Cayuela, Vicenç (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Conference report
    Open Access
    This paper explores the use of deep learning for leak localization in Water Distribution Networks (WDNs) using pressure measurements. By using a training data set including enough samples of all possible leak localizations, ...
  • Advanced integrated real-time control of combined Urban drainage systems using MPC 

    Sun, Congcong; Joseph Duran, Bernat; Cembrano Gennari, Gabriela; Puig Cayuela, Vicenç; Meseguer Amela, Jordi (2018)
    Conference report
    Open Access
    Combined urban drainage system (CUDS) collect both wastewater and raining water through sewer networks to wastewater treatment plants (WWTP) before releasing to the environment. During storm weather, rain and wastewater ...
  • D-stable controller design for Lipschitz NLPV system 

    Yang, Ruicong; Rotondo, Damiano; Puig Cayuela, Vicenç (2019)
    Conference report
    Open Access
    This paper addresses the design of a state-feedback controller for a class of nonlinear parameter varying (NLPV) systems in which the nonlinearity can be expressed as a parameter-varying Lipschitz term. The controller is ...
  • Estimation of node pressures in water distribution networks by Gaussian process regression 

    Santos Ruiz, Ildeberto de los; López Estrada, Francisco Ronay; Puig Cayuela, Vicenç; Blesa Izquierdo, Joaquim (2019)
    Conference report
    Open Access
    This paper proposes a method to predict pressures in all nodes of a water distribution network (WDN) by Gaussian process regression (GPR) from pressure measurements in a subset of selected nodes. The pressure sensors are ...

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