Extended Kalman Filter
Methodology for adapting the parameters of a fuzzy system using the extended Kalman filter
... When we try to analyze and to control a sys- tem whose model was obtained only based on in- put/output data, accuracy is essential in the model. On the other hand, to make the procedure practi- cal, the modeling stage ...
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Odometry and laser scanner fusion based on a discrete extended kalman filter for robotic platooning guidance
... In the light of the previous works the main contribution of this paper is to implement an innovative and low cost relative localization system for a convoy of robotics units in indoor transport scenarios. The LIDAR ...
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Application of the Extended Kalman filter to fuzzy modeling: Algorithms and practical implementation
... the extended Kalman filter (EKF) are presented in this ...of Kalman filter to obtain fuzzy models of unknown systems from input/output data, and also to allow its application in ...
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Extended Kalman filter estimates the contour length of a protein in single molecule atomic force microscopy experiments
... an extended Kalman filter algorithm that uses a model of the cantilever-protein system to estimate of the state variables describing the extension of a single ...
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Observability studies of a turbocharger systems
... on Extended Kalman Filter generalizes and improves the Extended Luenberger Observer, especially because the observer’s gain is recalculated in each ...
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A Vision-based Quadrotor Swarm for the participation in the 2013 International Micro Air Vehicle Competition
... an Extended Kalman Filter (EKF) that allows the complete 6 DOF pose of the drone to be corrected by integrating the odometry data and the information from the visual external markers ...
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Modelling and Control of Stepper Motors for High Accuracy Positioning Systems Used in Radioactive Environments
... an Extended Kalman Filter to a sensorless stepper motor drive, when the motor is separated from its drive by long ...an Extended Kalman Filter is too computationally intensive ...
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Desarrollo, implementación y prueba de un filtro de Kalman del tipo UKF para un vehículo aéreo no tripulado
... En una aplicación aeroespacial, la trayectoria nominal puede ser definida en el vuelo (“on the fly”), como la mejor estimación corriente de la trayectoria actual. A este tipo de aproximación se le conoce como filtro de ...
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Diseño del Bloque de Estimación de un Sistema ADCS para un Pico Satélite de Estándar CubeSat Usando Filtro de Partículas como Técnica de Estimación
... de Kalman en su forma can´ onica sigue siendo el m´ etodo de elecci´ on preferido por la gran mayor´ıa de aplicaciones consul- tadas ya que en el an´ alisis estad´ıstico dentro de los casos de estudio demostr´ o ...
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Diseño de sistemas de predicción por conjuntos: error en las condiciones iniciales
... Transform Kalman Filter, LETKF [10], para asimilación de datos genera por el mismo precio un análisis para usarlo en predicción determinista y un conjunto de análisis que pueden ser usados como conjunto de ...
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EEG/MEG Kalman-like source estimation
... When it comes to state estimation for nonlinear systems there is not a single solution avail- able that clearly outperforms all other strategies. Up to now the extended Kalman fillter (EKF) has ...
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TítuloDesarrollo de una metodología experimental para el estudio de estrategias de control en vehículos automóviles
... de Kalman lineales para estimar y predecir los t´erminos de traslaci´on, y un filtro de Kalman extendido (EKF ) para estimar y predecir los t´erminos de orientaci´ ...de Kalman extendi- do para ...
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A Kalman Filter Implementation for Precision Improvement in Low Cost GPS Positioning of Tractors
... In a previous study, this research team has proposed a way of improving the precision of GPS tractor positioning [41]. Moreover, the authors have acquired expertise in their work on tractor GPS guidance systems with two ...
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Bias Estimation for Evaluation of ATC surveillance systems
... • Automatic dependent surveillance (ADS-B) data. The complementarity nature of these sensor techniques allows a number of benefits (high degree of accuracy, extended coverage, systematic errors estimation and ...
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DESIGN AND IMPLEMENTATION OF AN INERTIAL NAVIGATION SYSTEM USING KALMAN FILTER
... the Kalman gain will be much lower and the input measurements will have little credibility at the moment of calculating the new output, giving way to a possible loss of ...
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Adaptive model predictive control
... is the number of unknown parameters in the adaptive scheme. Otherwise, convergence to a characterizable subspace of the parameter space is achieved. Despite the fact that the theory of parameter convergence for linear ...
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TítuloExperimental validation of a multibody model for a vehicle prototype and its application to automotive state observers
... the Kalman filter (KF) (Grewal and Andrews, 2008; Kalman, ...linearized Kalman Filter (LKF) have usually been adopted to ensure high-frequency and hard real-time estimation (Caracciolo ...
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Modelling and State Estimation of Batteries
... The present work starts in a general way introducing the reader to some important concepts in the field of batteries, such as, the internal operation of batteries or the different approaches concerning battery modelling. ...
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Glucose-Insulin regulator for type 1 diabetes using high order neural networks
... Abstract—In this paper a Glucose-Insulin regulator for Type 1 Diabetes using artificial neural networks (ANN) is proposed. This is done using a discrete recurrent high order neural network in order to identify and ...
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Improved Animal Tracking Algorithm using Distributed Kalman Filter-based Algortihms
... Abstract—Animal tracking has been addressed by different initiatives over the last two decades. Most of them rely on satellite connectivity on every single node and lack of energy-saving strategies. This paper presents ...
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