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extended Kalman filter design

A discontinuous extended Kalman filter for non smooth dynamic problems

A discontinuous extended Kalman filter for non smooth dynamic problems

... This property is however not derived from the design of the method; it is rather a bi-product of its algorithmic robustness. Hence it is not guaranteed that this will indeed be true for any problem, and will ...

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Design and Digital Implementation of Controller for PMSM Using Extended Kalman Filter

Design and Digital Implementation of Controller for PMSM Using Extended Kalman Filter

... In this article, the conventional observer combined with the Extended Kalman Filter is presented. The accu- rate estimation of states is very essential to achieve better control and performance of ...

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Robustness Evaluation of Extended and Unscented Kalman Filter for Battery State of Charge Estimation

Robustness Evaluation of Extended and Unscented Kalman Filter for Battery State of Charge Estimation

... The design of observers to estimate the state can be in different ways, such as Kalman filter family [25], [26], sliding observer [10], [24], H-infinity observer [27], [28], and Luenberger observer ...

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EXTENDED KALMAN FILTER APPROACH FOR REDUCING TRAFFIC CONGESTION IN VANET ISHU

EXTENDED KALMAN FILTER APPROACH FOR REDUCING TRAFFIC CONGESTION IN VANET ISHU

... The design of effective vehicular co mmunicat ions poses a series of technical challenges. Guaranteeing a stable and reliable routing mechanism over VANETs is an important step toward the realization of effective ...

7

Estimation of the Wheel-Ground Contacttire Forces using Extended Kalman Filter

Estimation of the Wheel-Ground Contacttire Forces using Extended Kalman Filter

... Since state estimators are usually based on the process model, they are sensitive to model inaccuracy. Consequently, vehicle modeling has been studied extensively[7-10]. Stephant, Charara, and Meizel[11] presented linear ...

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FUZZY OPTIMIZATION USING EXTENDED KALMAN FILTER

FUZZY OPTIMIZATION USING EXTENDED KALMAN FILTER

... The performance of a fuzzy system depends on both its rule base and its membership functions. Given a rule base, the membership functions can be optimized in order to obtain the best performance from the fuzzy system. ...

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A Study on Heading and Attitude Estimation of Underwater Track Vehicle

A Study on Heading and Attitude Estimation of Underwater Track Vehicle

... We design a controller for a precise trajectory and attitude tracking by installing the ARS on the ...an extended Kalman filter in the INS to estimate the position and attitude of the ...

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Extended Kalman Filter based State Estimation of Wind Turbine

Extended Kalman Filter based State Estimation of Wind Turbine

... control design and state estimation. To this extent we introduce Extended Kalman Filter ...The Extended Kalman Filter (EKF) is based on the nonlinear wind turbine model ...

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Modified Iterated Extended Kalman Filter for Mobile Cooperative Tracking System

Modified Iterated Extended Kalman Filter for Mobile Cooperative Tracking System

... it. Kalman filter and its non- linear extension, i.e. extended Kalman filter (EKF) provide a feasible solution to mitigate propagation effects and therefore it improves the accuracy of ...

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Extended Kalman Filter Modelling for Tracking Radar with Missing Measurements

Extended Kalman Filter Modelling for Tracking Radar with Missing Measurements

... Most traditional filter design approaches rely on the assumption that the measurement signals are perfectly transmitted. Such an assumption, however, is conservative in many engineering practice presented ...

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SNR estimation using extended kalman filter technique for orthogonal frequency division multiplexing (OFDM) system

SNR estimation using extended kalman filter technique for orthogonal frequency division multiplexing (OFDM) system

... maintaining overall throughput. To ensure that sub-carriers do not interfere with each other in frequency domain, subchannels orthogonalization is performed using the fast Fourier transform (FFT). Hence the inter symbol ...

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NAZIA KANWAL VECTOR TRACKING LOOP DESIGN FOR DEGRADED SIGNAL ENVIRONMENT. Master of Science Thesis

NAZIA KANWAL VECTOR TRACKING LOOP DESIGN FOR DEGRADED SIGNAL ENVIRONMENT. Master of Science Thesis

... In this thesis a receiver architecture based on the vector tracking loops was presented. In this type of receiver architecture, the vector tracking algorithm combines the operation of tracking and navigation state ...

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Optimum Design of a Dynamic Positioning Controller for an Offshore Vessel

Optimum Design of a Dynamic Positioning Controller for an Offshore Vessel

... In this paper, an optimal LQG controller is designed to achieve proper dynamic position stabilization on an offshore vessel. The desi gned control loop operates in the presence of noise from the measurement of sensors, ...

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State Estimation for Target Tracking Problems with Nonlinear Kalman Filter Algorithms

State Estimation for Target Tracking Problems with Nonlinear Kalman Filter Algorithms

... paper extended Kalman filter (EKF) and unscented Kalman filter (UKF) and Cubature Kalman Filter (CKF) are presented for bearing only Tracking problem in 3D using bearing ...

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Drift correction using a multi rate extended Kalman filter

Drift correction using a multi rate extended Kalman filter

... In this work a sensor fusion algorithm based on the extended Kalman filter is used to correct the drift for pose estimation. The algorithm fuses together two independent measurements from two ...

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Kalman Filter for LeakD iagnosis in Pipelines: Brief History and FutureR esearch

Kalman Filter for LeakD iagnosis in Pipelines: Brief History and FutureR esearch

... The Kalman filter can be conceptualized as two distinct phases: "prediction" and "correction". The prediction phase uses the state estimate from the previous time step to produce an estimate ...

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Analysis of robot localisation performance based on Extended Kalman Filter

Analysis of robot localisation performance based on Extended Kalman Filter

... the Extended Kalman Filter algorithm is adopted to integrate odometry data with sensor to achieve the required robustness and accuracy in the nonlinear dynamical ...

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Face Recognition using Extended Kalman Filter based Machine Learning

Face Recognition using Extended Kalman Filter based Machine Learning

... In recent years there has been a growing concern by researchers in developing algorithm for face recognition. The proposed work addresses the problem of face recognition in still images using Extended ...

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Survey on Auto-Calibration of Beacon Nodes in Indoor Location Computing

Survey on Auto-Calibration of Beacon Nodes in Indoor Location Computing

... Daniel Ruiz, Jesús Ureña, Juan C. García, Álvaro Hernández, Enrique García, Joaquín Aparicio (2010) proposed an algorithm where range measurements are computed using an H-∞ filter instead of a Kalman ...

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Combination of an Inertial Measurement Unit and a Camera for Defining the Position of an Airplane

Combination of an Inertial Measurement Unit and a Camera for Defining the Position of an Airplane

... the extended Kalman filter combined with an inertial navigation system and a camera to assist in determining the location and calculate the parameters of a ...the Kalman filter to ...

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