Results 21 to 30 of about 9,274 (303)
Bayesian Nonlinear Filtering via Information Geometric Optimization
Entropy, 2017 In this paper, Bayesian nonlinear filtering is considered from the viewpoint of information geometry and a novel filtering method is proposed based on information geometric optimization.
Yubo Li +5 more
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Design of extended Kalman filter for SEPIC converter and comparison to Kalman filter [PDF]
SN Applied Sciences, 2020 Single ended primary inductance converter (SEPIC) is a type of DC-DC converter whose industrial applications include maximum power point tracking and Active power factor correction. Owing to present nonlinear circuit components, SEPIC has discontinuous nonlinearity and for the mathematical model determination, state space averaging or more advanced ...
Artun Sel, Cosku Kasnakoglu
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Extended Kalman filtering for fuzzy modelling and multi-sensor fusion
Mathematical and Computer Modelling of Dynamical Systems, 2007 Gerasimos Rigatos, S Tzafestas
exaly +2 more sources
Extended Kalman Filter Using Orthogonal Polynomials [PDF]
IEEE Access, 2021 This paper reports a new extended Kalman filter where the underlying nonlinear functions are linearized using a Gaussian orthogonal basis of a weighted $\mathcal {L}_{2}$ space. As we are interested in computing the states’ mean and covariance with respect to Gaussian measure, it would be better to use a linearization, that is optimal with ...
Kundan Kumar +2 more
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State augmentation-based modified iterated extended Kalman filtering
Dianzi Jishu Yingyong, 2020 This paper derives a state augmentation-based modified iterated extended Kalman filter(SMIEKF) by making use of the state augmentation technique, in which the state variables are directly augmented with the measurement noise.
Liu Meihong +3 more
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A Note on the Extended Kalman Filter on a Manifold
2023 62nd IEEE Conference on Decision and Control (CDC), 2023 12 pages, 3 figures.
Yixiao Ge +2 more
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Robust INS/GPS sensor fusion for UAV localization using SDRE nonlinear filtering [PDF]
, 2009 For publication in IEEE Sensors JournalThe aim of this paper is to present a new INS/GPS sensor fusion scheme, based on State-Dependent Riccati Equation (SDRE) nonlinear filtering, for Unmanned Aerial Vehicle (UAV) localization problem.
Aouf, Nabil, Aouf, N., Nemra, A.
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Systems Science & Control Engineering, 2020 In this paper, some recent results on the distributed filtering, estimation and fusion algorithms for nonlinear systems with communication constraints are reviewed.
Zhibin Hu, Jun Hu, Guang Yang
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Penalized likelihood estimation and iterative kalman smoothing for non-gaussian dynamic regression models [PDF]
, 1995 Dynamic regression or state space models provide a flexible framework for analyzing non-Gaussian time series and longitudinal data, covering for example models for discrete longitudinal observations.
Fahrmeir, Ludwig, Wagenpfeil, Stefan
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Estimation of Sideslip Angle Based on Extended Kalman Filter
Journal 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
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