Ara es mostren els items 3-22 de 82

    • A Kalman filter approach for the estimation of time dependent OD matrices exploiting bluetooth traffic data collection 

      Barceló Bugeda, Jaime; Montero Mercadé, Lídia; Bullejos, Manuel; Serch, Oriol; Carmona Bautista, Carlos (2012)
      Text en actes de congrés
      Accés obert
      Time-Dependent Origin-Destination (OD) matrices are a key input to Dynamic Traffic Models, microscopic and mesoscopic traffic simulators are relevant examples of such models, traditionally used to assist in the design and ...
    • A Kalman-filter approach for dynamic OD estimation in corridors based on bluetooth and Wi-Fi data collection 

      Barceló Bugeda, Jaime; Montero Mercadé, Lídia; Marqués, Laura; Carmona Bautista, Carlos (2010)
      Text en actes de congrés
      Accés obert
      From the point of view of the information supplied by an ATIS to the motorists entering a freeway of one of the most relevant is the Forecasted Travel Time, that is the expected travel time that they will experience when ...
    • A practical method for implementing an attitude and heading reference system 

      Munguía Alcalá, Rodrigo Francisco; Grau Saldes, Antoni (2014-04-15)
      Article
      Accés obert
      This paper describes a practical and reliable algorithm for implementing an Attitude and Heading Reference System (AHRS). This kind of system is essential for real time vehicle navigation, guidance and control applications. ...
    • A robust fault diagnosis and forecasting approach based on Kalman filter and interval type-2 fuzzy logic for efficiency improvement of centrifugal gas compressor system 

      Nail, Bachir; Kouzou, Abdellah; Hafaifa, Ahmed; Hadroug, Hadji; Puig Cayuela, Vicenç (2019-01-01)
      Article
      Accés obert
      The paper proposes a robust faults detection and forecasting approach for a centrifugal gas compressor system, the mechanism of this approach used the Kalman filter to estimate and filtering the unmeasured states of the ...
    • A set-based prognostics approach for wind turbine blade health monitoring 

      Khoury, Boutrous; Puig Cayuela, Vicenç; Nejjari Akhi-Elarab, Fatiha (Elsevier, 2022)
      Text en actes de congrés
      Accés obert
      This paper presents a model-based prognostics procedure using a zonotopic Kalman filter in tandem with a zonotopic set-based propagation of degradation, aiding in the quantification of uncertainties associated with ...
    • A stochastic linear model to evaluate the dielectric constant-electrical conductivity relation of a sandy soil using TDR records 

      Aljoumani, Basem; Sánchez Espigares, Josep Anton; Wessolek, G. (2018)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      Despite the importance of evaluating soil pore water electrical conductivity from soil bulk electrical conductivity in ecological and hydrological applications, it still has not been worked out very well. This study was ...
    • A study of QR decomposition and Kalman filter implementations 

      Fuertes Roncero, David (Universitat Politècnica de Catalunya, 2014-09)
      Projecte/Treball Final de Carrera
      Accés obert
      Realitzat a/amb:   Kungliga Tekniska högskolan
      [ANGLÈS] With the rapid development of new technologies during the last decades, the demand of complex algorithms to work in real-time applications has increased considerably. To achieve the real time expectations and to ...
    • Active damping control for a three phase grid-connected inverter using sliding mode control 

      Guzmán Solà, Ramon; García de Vicuña Muñoz de la Nava, José Luis; Camacho Santiago, Antonio; Matas Alcalá, José; Castilla Fernández, Miguel; Miret Tomàs, Jaume (2013)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      This paper proposes a ne w active damping method based on virtual resistors for three-phase grid connected voltage source inverters (VSI) with LCL filter. The use of this filters is a standard solution to provide the ...
    • Adaptive estimation of the stable boundary-layer height using backscatter lidar data and a Kalman filter 

      Saeed, Umar; Rocadenbosch Burillo, Francisco; Crewell, Susanne (Institute of Electrical and Electronics Engineers (IEEE), 2015)
      Comunicació de congrés
      Accés restringit per política de l'editorial
      The nocturnal stable boundary-layer height (SBLH) is estimated from the backscatter lidar data by using an adaptive-filtering approach based on an Extended Kalman Filter (EKF). Height-resolved temporal variance of the ...
    • Adaptive Kalman Filter-Based Phase-Tracking in GNSS 

      Gómez Arias, Mario (Universitat Politècnica de Catalunya, 2010-10-04)
      Treball Final de Grau
      Accés obert
      This work introduces, implements and evaluates different adaptive Kalman filtering techniques based on the innovation autocorrelation function. The reason of considering these adaptive techniques is the effect of a wrong ...
    • Amortized constant time state estimation in SLAM using a mixed Kalman-information filter 

      Ila, Viorela Simona; Porta Pleite, Josep Maria; Andrade-Cetto, Juan (2009)
      Comunicació de congrés
      Accés obert
      The computational bottleneck in all informationbased algorithms for SLAM is the recovery of the state mean and covariance. The mean is needed to evaluate model Jacobians and the covariance is needed to generate data ...
    • An attitude and heading reference system (AHRS) based in a dual filter 

      Munguía Alcalá, Rodrigo Francisco; Grau Saldes, Antoni (IEEE Press. Institute of Electrical and Electronics Engineers, 2011)
      Comunicació de congrés
      Accés restringit per política de l'editorial
      This paper describes the design, analysis, and experimental results of an Attitude and Heading System based on a Dual Kalman Filtering technique. The presented scheme is suitable for implementation using low cost sensors. ...
    • An efficient statistical adaptive order-switching methodology for kalman filters 

      Chen, Jianlin; Masdemont Soler, Josep; Gómez Muntané, Gerard; Jianping, Yuan (2021-02)
      Article
      Accés restringit per política de l'editorial
      Variants and improvements of the extended Kalman filter (EKF) always encounter a dilemma between the estimation accuracy delivered and the computational burden associated. Targeting to improve this shortcoming, achieving ...
    • Analysis and verification of suitable li-ion models as basis for a self-adaptive battery observer 

      Pla Erra, Pol (Universitat Politècnica de Catalunya, 2018-01-10)
      Treball Final de Grau
      Accés restringit per decisió de l'autor
      The purpose of this project is to create and simulate a self-adaptive battery observer using Matlab Simulink. The first phase of the project involves the research of a suitable lithium-ion cell model to cover a wide range ...
    • Array covariance error measurement in adaptive source estimation 

      Pérez Neira, Ana Isabel; Lagunas Hernandez, Miguel A. (1994)
      Text en actes de congrés
      Accés obert
      The small error approximation is used to derive a linear relationship between the source parameters (i.e. power levels and directions of arrival) and a measurement of the covariance error matrix, defined as the difference ...
    • Atmospheric boundary layer height monitoring using a kalman filter and backscatter lidar returns 

      Lange, Diego; Tiana Alsina, Jordi; Saeed, Umar; Tomás Martinez, Sergio; Rocadenbosch Burillo, Francisco (Institute of Electrical and Electronics Engineers (IEEE), 2014-08-01)
      Article
      Accés restringit per política de l'editorial
      A solution based on a Kalman filter to trace the evolution of the atmospheric boundary layer (ABL) sensed by a ground-based elastic-backscatter tropospheric lidar is presented. An erf-like profile is used to model the ...
    • Atmospheric boundary-layer height estimation by adaptive Kalman filtering of lidar data 

      Tomás Martínez, Sergio; Rocadenbosch Burillo, Francisco; Sicard, Michaël (2010)
      Text en actes de congrés
      Accés obert
      A solution based on a Kalman filter to trace the evolution of the atmospheric boundary layer (ABL) sensed by an elastic backscatter lidar is presented. An erf-like profile is used to model the mixing layer top and the ...
    • Atmospheric-boundary-layer height retrieval using microwave radiometer and lidar sensors : algorithms and error estimation 

      Saeed, Umar (Universitat Politècnica de Catalunya, 2016-07-22)
      Tesi
      Accés obert
      The Atmospheric Boundary Layer Height (ABLH) is an important parameter in weather forecasting, meteorology, avionics, and air-quality and dispersion models. Local development of the Atmospheric Boundary Layer (ABL) over ...
    • Attitude and heading system based on EKF total state configuration 

      Munguía Alcalá, Rodrigo Francisco; Grau Saldes, Antoni (IEEE Industrial Electronics Society, 2011)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      This paper describes the design, analysis, and experimental results of an Attitude and Heading System based on total state (direct) Extended Kalman Filtering technique. The presented scheme is suitable for implementation ...
    • Comparativa de métodos de localización con Smartphones 

      Ferrer Cid, Pau (Universitat Politècnica de Catalunya, 2017-06)
      Treball Final de Grau
      Accés obert
      Desde la aparición del iPhone en enero del 2007 y de los teléfonos Android en octubre del 2008, el uso de teléfonos inteligentes (smartphones) ha crecido de manera sostenida, de modo que ya forman parte de nuestro día a ...