Results 21 to 30 of about 270,111 (384)
IEEE Transactions on Vehicular Technology, 2020 Battery management system (BMS) is one of the key subsystems of electric vehicle, and the battery state-of -charge (SOC) is a crucial input for the calculations of energy and power. Therefore, SOC estimation is a significant task for BMS.
Zhicheng He +3 more
semanticscholar +1 more source
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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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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Italian National Conference on Sensors, 2020 Detection and distance measurement using sensors is not always accurate. Sensor fusion makes up for this shortcoming by reducing inaccuracies. This study, therefore, proposes an extended Kalman filter (EKF) that reflects the distance characteristics of ...
Taek-Lim Kim, Tae-Hyoung Park
semanticscholar +1 more source
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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Filtering Electrocardiogram Signals Using the Extended Kalman Filter [PDF]
2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2005 In this paper the Extended Kalman Filter (EKF) has been used for the filtering of Electrocardiogram (ECG) signals. The method is based on a previously nonlinear dynamic model proposed for the generation of synthetic ECG signals. The results show that the EKF may be used as a powerful tool for the extraction of ECG signals from noisy measurements; which
R, Sameni, M B, Shamsollahi, C, Jutten
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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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A Novel Fuzzy-Adaptive Extended Kalman Filter for Real-Time Attitude Estimation of Mobile Robots
Italian National Conference on Sensors, 2020 This paper proposes a novel fuzzy-adaptive extended Kalman filter (FAEKF) for the real-time attitude estimation of agile mobile platforms equipped with magnetic, angular rate, and gravity (MARG) sensor arrays.
Á. Odry +5 more
semanticscholar +1 more source
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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