Results 21 to 30 of about 3,045 (214)
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 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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Advances in Mechanical Engineering, 2017 The robust parameter estimation of unknown space objects is essential to the on-orbit servicing missions. Based on the adaptive filtering techniques along with the dual quaternions modeling methods for pose estimation, this article proposes a dual vector
Xianghao Hou +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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Power Systems Dynamic State Estimation With the Two-Step Fault Tolerant Extended Kalman Filtering
IEEE Access, 2021 Bad data may lead to performance degradation or even instability of a power system, which can be caused by various factors: unintentional PMU abnormalities, topology error, malicious cyber-attacks, electromagnetic interference, temporary loss of ...
Xin Wang
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Correction Robot pose for SLAM based on Extended Kalman Filter in a Rough Surface Environment
International Journal of Advanced Robotic Systems, 2009 This research deals with mobile robot SLAM algorithm based on extended kalman filter. To enhance a accuracy of robot pose, one more extended kalman filter is used in a rough surface environment.
Sukgyu Lee, Jaeyong Park, Park, Joohyun
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Auto‐calibration Kalman filters for non‐linear systems with direct feedthrough
IET Control Theory & Applications, 2021 The problem of state estimation for non‐linear systems with unknown inputs is discussed. The objective is to construct a non‐linear filter where the unknown input affects both the state equation and measurement equation. An auto‐calibration Kalman filter
Yi Cui, Zhihua Wang
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Real-Time Trajectory Estimation of Space Launch Vehicle Using Extended Kalman Filter and Unscented Kalman Filter [PDF]
Journal of Astronomy and Space Sciences, 2005 This research supposed when a fictitious KSLV-I space launch vehicle launches from NARO space center. This compared and analyzed the results from real-time trajectory estimation using the Extended Kalman Filter and the Unscented Kalman Filter.
Jeong-Ho Baek +5 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 comparison of assimilation results from the ensemble Kalman Filter and a reduced-rank extended Kalman Filter [PDF]
Nonlinear Processes in Geophysics, 2003 The goal of this study is to compare the performances of the ensemble Kalman filter and a reduced-rank extended Kalman filter when applied to different dynamic regimes.
X. Zang, P. Malanotte-Rizzoli
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