Now showing items 1-20 of 210

    • 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 ...
    • A distributed augmented Lagrangian method over stochastic networks for economic dispatch of large-scale energy systems 

      Ananduta, Wayan Wicak; Ocampo-Martínez, Carlos; Nedic, Angelia (2021)
      Article
      Open Access
      In this paper, we propose a distributed model predictive control (MPC) scheme for economic dispatch of energy systems with a large number of active components. The scheme uses a distributed optimization algorithm that works ...
    • A hybrid system-level prognostics approach with online RUL forecasting for electronics-rich systems with unknown degradation behaviors 

      Al Mohamad, Ahmad; Hoblos, Ghaleb; Puig Cayuela, Vicenç (2020-08)
      Article
      Open Access
      This paper proposes a system-level prognostic approach for power electronic systems with slow degradation profiles. Although a model-based approach has been adopted to deal with such multivariable dynamical systems with ...
    • A learning-based approach towards the data-driven predictive control of combined wastewater networks – An experimental study 

      Balla, Krisztian Mark; Dimon Bendtsen, Jan; Schou, Christian; Skovmose Kallesoe, Carsten; Ocampo-Martínez, Carlos (Elsevier, 2022-08-01)
      Article
      Open Access
      Smart control in water systems aims to reduce the cost of infrastructure expansion by better utilizing the available capacity through real-time control. The recent availability of sensors and advanced data processing is ...
    • A methodology for incipient fault detection 

      Escobet Canal, Teresa; Puig Cayuela, Vicenç; Quevedo Casín, Joseba Jokin; García Valverde, Diego (Institute of Electrical and Electronics Engineers (IEEE), 2014)
      Conference report
      Open Access
      This paper proposes a fault detection methodology for incipient faults that combines different residual generation methods (observers and l-step ahead predictors) with different convergence velocity to the real output ...
    • A model predictive scheduling strategy for coordinated inland vessel navigation and bridge operation 

      Segovia Castillo, Pablo; Puig Cayuela, Vicenç; Reppa, Vasso (Institute of Electrical and Electronics Engineers (IEEE), 2023)
      Conference lecture
      Open Access
      This paper presents the design of a model predictive scheduling strategy to address the inland waterborne transport (IWT) problem considering bridges that must open to enable vessel passage. The main contribution is the ...
    • A multilayer control strategy for the Calais canal 

      Segovia Castillo, Pablo; Puig Cayuela, Vicenç; Duviella, Eric (Institute of Electrical and Electronics Engineers (IEEE), 2023-01-01)
      Article
      Open Access
      This article presents the design of a control strategy for the Calais canal, a navigation canal located in a lowland area in northern France that is affected by tides. Moreover, the available actuators are discrete-valued ...
    • A Multiple-model predictor approach based on an On-line mode recognition with application to water demand forecasting 

      López Farías, Rodrigo; Puig Cayuela, Vicenç (Universidad de Granada, 2015)
      Conference report
      Restricted access - publisher's policy
      This paper proposes a general Multiple-Model Predictor frame-work for forecasting time series that presents multiple patterns (behaviours). The proposed approach allows off-line identifying the different time-series ...
    • A non-centralized predictive control strategy for wind farm active power control: A wake-based partitioning approach 

      Siniscalchi Minna, Sara; Bianchi, Fernando Daniel; Ocampo-Martínez, Carlos; Domínguez Garcia, José Luis; De Schutter, Bart (Elsevier, 2020-05-01)
      Article
      Open Access
      Owing to wake effects, the power production of each turbine in a wind farm is highly coupled to the operating conditions of the other turbines. Wind farm control strategies must take into account these couplings and produce ...
    • A nonlinear model predictive control strategy for autonomous racing of scale vehicles 

      Cataffo, Vittorio; Silano, Giuseppe; Iannelli, Luigi; Puig Cayuela, Vicenç; Glielmo, Luigi (2022)
      Conference report
      Open Access
      A Nonlinear Model Predictive Control (NMPC) strategy aimed at controlling a small-scale car model for autonomous racing competitions is presented in this paper. The proposed control strategy is concerned with minimizing ...
    • A novel bidirectional multilevel boost-buck dc-dc converter 

      Busquets Monge, Sergio; Alepuz Menéndez, Salvador; Bordonau Farrerons, José (2009-09)
      Conference lecture
      Open Access
      A novel noninverting boost-buck dc-dc converter topology is presented, applicable when both sides of the converter need to have the same grounding. It is based on the back-to-back connection of two n-level diode-clamped ...
    • A novel formulation of economic model predictive control for periodic operations 

      Wang, Ye; Muñoz De la Peña, David; Puig Cayuela, Vicenç; Cembrano Gennari, Gabriela (2018)
      Conference report
      Open Access
      This paper proposes a novel formulation of economic model predictive control (MPC) for linear systems with periodic operations. In this economic MPC design, the optimal periodic trajectory from an economic point of view ...
    • A recursive LMI-based algorithm for efficient vertex reduction in LPV systems 

      Sanjuan Gómez, Adrián; Rotondo, Damiano; Nejjari Akhi-Elarab, Fatiha; Sarrate Estruch, Ramon (2021-01-01)
      Article
      Open Access
      This paper proposes a new algorithm to reduce the number of gains of a polytopic LPV controller considering generic tuples of vertices, for which a common controller gain can be used. The use of Frobenius norm and the ...
    • A set-based uncertainty quantification of evolving fuzzy models for data-driven prognostics 

      Khoury, Boutrous; Bessa, Iury; Nejjari Akhi-Elarab, Fatiha; Puig Cayuela, Vicenç (Springer, 2022)
      Conference report
      Restricted access - publisher's policy
      Recent years have seen a great deal of innovation in the field of systems prognostics and health management. However, even with these advancements, some pertinent issues related with uncertainty in remaining useful life ...
    • A Survey of path following control strategies for UAVs focused on quadrotors 

      Rubí Perelló, Bartomeu; Pérez Magrané, Ramon; Morcego Seix, Bernardo (2019-11-09)
      Article
      Open Access
      The trajectory control problem, defined as making a vehicle follow a pre-established path in space, can be solved by means of trajectory tracking or path following. In the trajectory tracking problem a timed reference ...
    • Actuators coordination of heavy vehicles using model predictive control allocation 

      Sinigaglia, Andrea (Universitat Politècnica de Catalunya, 2015-10)
      Master thesis
      Open Access
      This report proposes the use of a novel method called Model Predictive Control Allocation (MPCA) in order to conveniently coordinate the different actuators present on a heavy vehicle. The actuators analysed in this report ...
    • Adaptive online parameter estimation algorithm of PEM fuel cells 

      Xing, Yashan; Jing, Na; Costa Castelló, Ramon (Institute of Electrical and Electronics Engineers (IEEE), 2019)
      Conference report
      Open Access
      Since most of fuel cell models are generally nonlinearly parameterized functions, existing modeling techniques rely on the optimization approaches and impose heavy computational costs. In this paper, an adaptive online ...
    • Adaptive predictive control for peripheral equipment management to enhance energy efficiency in smart manufacturing systems 

      Bermeo Ayerbe, Miguel Ángel; Ocampo-Martínez, Carlos; Díaz Rozo, Javier (2021)
      Article
      Open Access
      The importance of implementing energy efficiency methodologies in industrial environments has increased considerably in the last decade given the high energy costs and environmental impact (e.g., greenhouse gas emissions). ...
    • Advanced segmentation of the HORECA sector via artificial intelligence and machine learning 

      Canal Prat, Sergi (Universitat Politècnica de Catalunya, 2020-02-13)
      Bachelor thesis
      Restricted access - author's decision
      Covenantee:   UVE Solutions
      UVE Solutions, located in Manresa and Sant Cugat del Vallès, is a company that has been helping for more than a decade, Fast Moving Consumer Goods companies (FMGC) to improve the route that their products do from their ...
    • Algoritmo MPC para el pre-despacho de un sistema combinado hidráulico-eólico 

      Levieux, Luis Ignacio; Ocampo-Martínez, Carlos; Inthamoussou, Fernando A.; De Battista, Hernán (Institute of Electrical and Electronics Engineers (IEEE), 2018)
      Conference report
      Open Access
      This article presents an alternative to the traditional power dispatch policy, that includes a predictive controller in the hourly pre-dispatch layer. This approach allows the consideration of previous measurements, like ...