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multi-state extended Kalman filters

State Estimation of Common Emitter Amplifier using Iterated Extended Kalman Filters

State Estimation of Common Emitter Amplifier using Iterated Extended Kalman Filters

... of multi-input multi output ...a state estimation for nonlinear deterministic system and showed that the estimation error is exponentially ...nonlinear extended finite impulse response ...

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Comparing the ensemble and extended Kalman filters for in situ soil moisture assimilation with contrasting conditions

Comparing the ensemble and extended Kalman filters for in situ soil moisture assimilation with contrasting conditions

... simplified extended Kalman filter (SEKF, Mahfouf et ...the extended Kalman fil- ter (EKF) by assuming that errors in the prior state (the background) are climatological ...ensemble ...

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MULTI CROSS PROTOCOL WITH HYBRID TOPOGRAPHY CONTROL FOR MANETS

MULTI CROSS PROTOCOL WITH HYBRID TOPOGRAPHY CONTROL FOR MANETS

... manipulator state estimation using the Extended Kalman Filter and the Unscented Kalman ...the state estimation quantified by the estimation mean squared error and the time required by ...

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Joint State and Parameter Estimation by Extended Kalman Filter (EKF) technique

Joint State and Parameter Estimation by Extended Kalman Filter (EKF) technique

... the state and output noise matrices are as: To better reflect real system conditions, white noise was added to the state with (mean, covariance) and to the measured output with (mean, covariance) under these ...

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Recurrent Neural Network Based Narrowband Channel Prediction

Recurrent Neural Network Based Narrowband Channel Prediction

... As a design alternative, neural networks have also been proposed for the task of channel prediction [7], [8], [9], since they can be trained to learn from the past statistics, which can be exploited for predicting the ...

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AS-EKF : a delay aware state estimation technique for telepresence robot navigation

AS-EKF : a delay aware state estimation technique for telepresence robot navigation

... If the time delay is known, the past state can be pre- dicted applying backward prediction of the current state. Bar-Shalom [4], [5] proposed an optimal and sub-optimal algorithm for delayed measurement. In ...

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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

... al., 2017; Izadi et al., 2016; Sørensen, 2011; Fossen & Strand, 1999; Sørensen et al., 1996; Balchen et al., 1976). Especially in (Taremi et al., 2019), the authors investigated an approach to design a tracker by ...

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Theoretical Approach to Determine Flaw Size in Aircraft Fuselage Panels using Extended Kalman Filters

Theoretical Approach to Determine Flaw Size in Aircraft Fuselage Panels using Extended Kalman Filters

... Various attempts have been made to study crack-propagation due to cyclic fatigue. The fatigue process that caused the mid-air disintegration of two de Havilland Comets in 1954 has been worked upon to develop a proper ...

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KALMAN FILTERS AND ARMA MODELS

KALMAN FILTERS AND ARMA MODELS

... the model described above is general enough to include the multivariate case in which X(t) has a dimension greater than 1. Even if it is possible to associate such a model to an ARMA model (eventually vectorial) and vice ...

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Single Seven State Discrete Time Extended Kalman Filter for Micro Air Vehicle

Single Seven State Discrete Time Extended Kalman Filter for Micro Air Vehicle

... The Discrete Time [9] Extended Kalman Filter (EKF) considers discrete-time dynamics and discrete-time measurements. This situation is often considered in practice. Even if the underlying system dynamics are ...

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Comparison of the Extended Kalman Filter and the Unscented Kalman Filter for Magnetocardiography activation time imaging

Comparison of the Extended Kalman Filter and the Unscented Kalman Filter for Magnetocardiography activation time imaging

... Rhudy, M., Gu, Y., Gross, J., and Napolitano, M. R.: Evaluation of Matrix Square Root Operations for UKF within a UAV GPS/INS Sensor Fusion Application, Int. J. Navigation and Observation, 2011, Article ID 416828, ...

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Use of the Extended Kalman Filter for State Dependent Drift Estimation in Weakly Nonlinear Sensors

Use of the Extended Kalman Filter for State Dependent Drift Estimation in Weakly Nonlinear Sensors

... Alternatively, reversible state independent drift can generally be evaluated. A representative example of this class of drift is the gravitational offset (g-offset) in an accelerometer, generated from its relative ...

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LQG Control Design for Balancing an Inverted Pendulum Mobile Robot

LQG Control Design for Balancing an Inverted Pendulum Mobile Robot

...  x  (3) Here K m , K t ,  t , K g , , R and are coefficients de- pendent on the physical properties of the motor and gear. The different parameters for (3) is not known for the robot used in this project. However, [8] ...

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Particle / Kalman Filter for Efficient Robot Localization

Particle / Kalman Filter for Efficient Robot Localization

... Different filters namely Kalman filter KF, Particle Filter PF and a proposed Enhanced Particle/Kalman Filter EPKF implemented in Matlab environment and their performance are evaluated in[r] ...

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Extended Kalman Doppler tracking and model determination for multi-sensor short-range radar

Extended Kalman Doppler tracking and model determination for multi-sensor short-range radar

... considering the requirements for predictive 24 GHz Doppler radar processing aiming at collision warning and collision avoidance in industrial machine tools. The proposed proce- dure for filter initialization is based on ...

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Blind Multichannel Deconvolution with Cascaded Kalman Filters

Blind Multichannel Deconvolution with Cascaded Kalman Filters

... For each iteration of the blind deconvolution algorithm, the two Kalman filters are performed one after another. The signal-flow graph of the algorithm is shown in Figure 1. The big dashed-line rectangle ...

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On the vehicle sideslip angle estimation: a literature review of methods, models and innovations

On the vehicle sideslip angle estimation: a literature review of methods, models and innovations

... Nowadays, vehicle control systems (VCS) such as rear wheel steering, active steering, direct yaw moment control (DYC) through active differentials or torque vectoring, advanced traction controls, and the above-mentioned ...

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Online Full Text

Online Full Text

... This research work investigates the usefulness of the MSDF technique to enhance the process fault detection and diagnosis based on the EKF estimation approach. Also, investigates the usefulness of the fuzzy logic to ...

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State-dependent Kalman filters for robust engine control

State-dependent Kalman filters for robust engine control

... The state dependent Kalman filter is used for the estimation of the intake manifold pressure, temperature and the electronic throttle ...The state dependent Kalman filter combines a knowledge ...

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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

... adaptive extended Kalman filter (AEKF) [33], adaptive unscented Kalman filter (AUKF) [34], square root spherical unscented Kalman filter ...and state of health (SOH) in a lithium-ion ...

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