Results 21 to 30 of about 55,859 (291)

Estimation of Sideslip Angle Based on Extended Kalman Filter

open access: yesJournal of Electrical and Computer Engineering, 2017
The sideslip angle plays an extremely important role in vehicle stability control, but the sideslip angle in production car cannot be obtained from sensor directly in consideration of the cost of the sensor; it is essential to estimate the sideslip angle
Yupeng Huang   +3 more
doaj   +1 more source

A Novel Fitting H-Infinity Kalman Filter for Nonlinear Uncertain Discrete-Time Systems Based on Fitting Transformation

open access: yesIEEE Access, 2020
The classical Kalman-based filtering algorithm, such as extended Kalman filter or unscented Kalman filter, commonly assumes that the accurate system model or precise noise statistics is known for using.
Juan Xia   +5 more
doaj   +1 more source

Non-Linear Filtering for Precise Point Positioning GPS/INS integration [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014
This research investigates the performance of non-linear estimation filtering for GPS-PPP/MEMS-based inertial system. Although integrated GPS/INS system involves nonlinear motion state and measurement models, the most common estimation filter employed ...
M. Abd Rabbou, A. El-Rabbany
doaj   +1 more source

Kalman Filtering with Uncertain Process and Measurement Noise Covariances with Application to State Estimation in Sensor Networks [PDF]

open access: yes, 2007
Distributed state estimation under uncertain process and measurement noise covariances is considered. An algorithm based on sensor fusion using Kalman filtering is investigated.
Johansson, Karl Henrik   +2 more
core   +2 more sources

Aircraft Inertial Measurement Unit Fault Diagnosis Based on Optimal Two-Stage UKF [PDF]

open access: yesXibei Gongye Daxue Xuebao, 2018
Optimal two stage Kalman filter (OTSKF) is able to obtain optimal estimation of system states and bias for linear system which contains random bias. Unscented Kalman filter (UKF) is a conventional nonlinear filtering method which utilizes Sigmas point ...

doaj   +1 more source

Mobile robot localization using robust extended H-infinity filtering [PDF]

open access: yes, 2009
This is the author's accepted manuscript. The final published article is available from the link below. Copyright @ 2009 Institution of Mechanical Engineers.In this paper, a novel methodology is provided for accurate localization of a mobile robot using ...
Hu, X, Lauria, S, Wang, Z, Yang, F
core   +1 more source

On-Line Component Estimation and Analyser Claibration for a Complex Industrial Processing Plant using Kalman-Filtering [PDF]

open access: yesModeling, Identification and Control, 1988
The paper presents an on-line analyser system based on a Kalman filtering technique. The system is implemented on a computer, and tested against an analyser simulator.
Ola Norderhaug   +2 more
doaj   +1 more source

Q-Method Extended Kalman Filter [PDF]

open access: yesJournal of Guidance, Control, and Dynamics, 2015
A new algorithm is proposed that smoothly incorporates the nonlinear estimation of the attitude quaternion using Davenport’s q-method and the estimation of nonattitude states through an extended Kalman filter. The new algorithm is compared to an existing one and the various similarities and differences are discussed.
Thomas Ainscough   +3 more
openaire   +1 more source

Smoothing Dynamic Systems with State-Dependent Covariance Matrices

open access: yes, 2014
Kalman filtering and smoothing algorithms are used in many areas, including tracking and navigation, medical applications, and financial trend filtering.
Aravkin, Aleksandr Y., Burke, James V.
core   +1 more source

A Kalman Filter Approach for Biomolecular Systems with Noise Covariance Updating

open access: yes, 2018
An important part of system modeling is determining parameter values, particularly for biomolecular systems, where direct measurements of individual parameters are typically hard.
Chakrabarti, Kushal   +3 more
core   +1 more source

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