Results 21 to 30 of about 3,435,907 (207)
Advances in Space Research, 2018 This article compares the attitude estimated by nonlinear estimator Cubature Kalman Filter with results obtained by the Extended Kalman Filter and Unscented Kalman Filter.
R. V. Garcia +3 more
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International Journal of Advanced Robotic Systems, 2011 The paper proposes derivative-free nonlinear Kalman Filtering for MIMO nonlinear dynamical systems. The considered nonlinear filtering scheme which is based on differential flatness theory extends the class of systems to which Kalman Filtering can be ...
Gerasimos G. Rigatos
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Ice bottom evolution derived from thermistor string-based ice mass balance buoy observations
International Journal of Digital Earth, 2023 Digital information on sea ice extent, thickness, volume, and distribution is crucial for understanding Earth's climate system. The Snow and Ice Mass Balance Apparatus (SIMBA) is used to determine snow and ice temperatures in Arctic, Antarctic, ice ...
Zeliang Liao +5 more
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COMPARISON OF APPROACHES TO UNKNOWN PARAMETERS IDENTIFICATION IN GYRO DRIFT MODEL [PDF]
Научно-технический вестник информационных технологий, механики и оптики, 2018 The paper proposes a model of floated gyro drift, used in a platform-based inertial navigation system, which takes into account temperature effects. We consider a problem of unknown parameters identification in a mathematical model of floated gyro drift.
Ivanov D.P. +2 more
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Adaptive UKF Algorithm for GNSS/SINS Integrated Navigation Based on Allan Variance Model [PDF]
Hangkong bingqiThe GNSS/SINS integrated navigation system is a typical nonlinear system， so the nonlinear filtering methods is one of the effective ways to improve its filtering performance.
Liu Siming, Lin Xueyuan, Qiao Yuxin
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Sensors, 2020 Video-based techniques for identification of structural dynamics have the advantage that they are very inexpensive to deploy compared to conventional accelerometer or strain gauge techniques. When structural dynamics from video is accomplished using full-
Bridget Martinez +4 more
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Entropy, 2021 In this study, an intelligent computing paradigm built on a nonlinear autoregressive exogenous (NARX) feedback neural network model with the strength of deep learning is presented for accurate state estimation of an underwater passive target.
Wasiq Ali +4 more
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Data and Program Structure for a Modular Extended Kalman Filter [PDF]
Modeling, Identification and Control, 1988 The paper presents a data and program structure that makes it easier to implement a nonlinear process or measurement model when using the extended Kalman filter. This is achieved by a composite data type containing both the estimated value and covariance
Ingar Solberg
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Nonlinear Analysis of the BOLD Signal
EURASIP Journal on Advances in Signal Processing, 2009 The linearized filtering approach to the hemodynamic system is limited in capturing the inherent nonlinearities of physiological systems. The nonlinear estimation method therefore should be thought of as a natural way to access the nonlinear data ...
Zhenghui Hu +3 more
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Combined nonlinear filtering architectures involving sparse functional link adaptive filters
Signal Processing, 2017 Sparsity phenomena in learning processes have been extensively studied, since their detection allows to derive suited regularized optimization algorithms capable of improving the overall learning performance.
D. Comminiello +4 more
semanticscholar +1 more source