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Published in 2021 at "Chinese Journal of Aeronautics"
DOI: 10.1016/j.cja.2021.04.014
Abstract: Abstract The features of carrier-based aircraft’s navigation systems during the approach and landing phases are investigated. A new adaptive Kalman filter with unknown state noise statistics is proposed to improve the accuracy of the INS/GNSS…
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Keywords:
kalman filter;
new adaptive;
navigation;
adaptive kalman ... See more keywords
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Published in 2017 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2017.08.1838
Abstract: An adaptive Kalman filter is proposed in this paper for actuator fault diagnosis in discrete time stochastic time varying systems. By modeling actuator faults as parameter changes, fault diagnosis is performed through joint state-parameter estimation…
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Keywords:
actuator;
kalman filter;
fault diagnosis;
adaptive kalman ... See more keywords
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Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.11.083
Abstract: Abstract Inferring the camera pose with high accuracy is deemed crucial in many applications such as robot manipulation and virtual reality. Traditionally, features extracted from camera images are processed by Kalman-based schemes due to their…
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Keywords:
sample based;
kalman filtering;
camera pose;
camera ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3040433
Abstract: This paper presents an intelligent adaptive Kalman filter based on deep neural network and fuzzy logic for integrated navigation systems. The highlight is that the process noise covariance is obtained by analyzing inertial sensors’ output…
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Keywords:
integrated navigation;
intelligent adaptive;
kalman filter;
navigation systems ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3043878
Abstract: Due to the deficiency of prior information for online updating process, the tracking accuracy of fully-convolutional Siamese network (SiamFC) in complex scenes such as similar object interference, fast moving, and appearance change is not good.…
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Keywords:
siamese network;
kalman;
object tracking;
kalman filter ... See more keywords
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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3273809
Abstract: Induction motors are typical rotating machines that are widely used in various industrial processes. The condition of induction motors has to be monitored to avoid serious losses, which can be caused by various reasons. Over…
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Keywords:
induction motors;
condition monitoring;
adaptive kalman;
condition ... See more keywords
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Published in 2020 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2019.2946557
Abstract: This article presents an adaptive Kalman filtering approach to estimate the orientation of human body segments by using magnetic-inertial measurement units (MIMUs) with three-axis gyroscope, accelerometer, and magnetometer. In order to mitigate the negative impact…
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Keywords:
human motion;
motion;
filtering approach;
kalman filtering ... See more keywords
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Published in 2021 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2021.3114741
Abstract: The hysteresis of the piezoelectric actuator (PEA) exhibits obvious rate dependence, especially in fast scanning or tracking. This paper proposes an adaptive hysteresis compensation method that integrates the direct inverse modeling (DIM) method and an…
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Keywords:
hysteresis compensation;
hysteresis;
inverse hysteresis;
direct inverse ... See more keywords
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Published in 2022 at "Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering"
DOI: 10.1177/09544100221082802
Abstract: In this paper, a novel fast fine alignment method is proposed on the basis of micro electro mechanical systems (MEMS) for unmanned aerial vehicle (UAV) under mooring conditions. Firstly, the model of single-axis rotation modulation…
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Keywords:
fading factors;
adaptive kalman;
filter based;
kalman filter ... See more keywords
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Published in 2022 at "Scientia Iranica"
DOI: 10.24200/sci.2022.59433.6243
Abstract: : This article addresses the state estimation problem for dynamic systems with linear models wherein covariance matrices of the process and measurement noise are unknown and one step delay randomly occurs in the measurements. Due…
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Keywords:
adaptive kalman;
one step;
filter;
kalman filter ... See more keywords