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Published in 2025 at "Journal of Field Robotics"
DOI: 10.1002/rob.70082
Abstract: Inertial Measurement Units (IMUs), comprising gyroscopes and accelerometers, are fundamental for motion estimation in navigation and robotics. However, their performance is often degraded by nonlinear and time‐varying errors, such as bias drift, scale‐factor deviations, and…
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Keywords:
error compensation;
navigation;
error;
transformer based ... See more keywords
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Published in 2020 at "Journal of The Institution of Engineers (India): Series B"
DOI: 10.1007/s40031-020-00454-9
Abstract: Measurement current transformers (MCTs) are an important component in the measurement of electric power. In this era of deregulation, every power distribution company strives for maximum revenue. It could be possible if the errors present…
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Keywords:
measurement current;
methodology;
error compensation;
compensation ... See more keywords
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Published in 2021 at "Chinese Journal of Aeronautics"
DOI: 10.1016/j.cja.2021.03.027
Abstract: Abstract Due to the characteristics of high efficiency, wide working range, and high flexibility, industrial robots are being increasingly used in the industries of automotive, machining, electrical and electronic, rubber and plastics, aerospace, food, etc.…
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Keywords:
accuracy;
robot;
positioning error;
industrial robot ... See more keywords
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Published in 2019 at "Journal of Process Control"
DOI: 10.1016/j.jprocont.2019.04.014
Abstract: Abstract This paper is focused on the design of a robust model based extremum-seeking controller (ESC) aimed at the online optimization of a class of uncertain nonlinear systems. The ESC scheme is based on the…
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Keywords:
model based;
model;
based extremum;
seeking controller ... See more keywords
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Published in 2017 at "Procedia Manufacturing"
DOI: 10.1016/j.promfg.2017.07.015
Abstract: Abstract This paper extends the application of a novel wavelet-based periodic error compensation algorithm in fiber-coupled heterodyne interferometry. In this case, the amplitudes of periodic error may be fluctuating and traditional digital algorithms are not…
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Keywords:
error;
error compensation;
periodic error;
heterodyne interferometry ... See more keywords
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Published in 2022 at "Healthcare Technology Letters"
DOI: 10.1049/htl2.12023
Abstract: Abstract The purpose of this study is to evaluate the effectiveness of heartbeat error and compensation methods on heart rate variability (HRV) with mobile and wearable sensor devices. The HRV analysis extracts multiple indices related…
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Keywords:
error compensation;
heart rate;
analysis;
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Published in 2021 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/abe9dc
Abstract: Measuring the positions of multiple targets is key in many positioning applications. Utilizing compressed sensing theory, measurements using the sparse direct position determination (DPD) methods are more accurate than the two-step methods and the traditional…
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Keywords:
direct position;
position;
multiple targets;
error compensation ... See more keywords
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Published in 2024 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/ad78f6
Abstract: Due to the errors in manufacturing and assembly, there are differences between the actual model and the theoretical model of the robot, which affects the positioning accuracy of the robot end-effector. In order to improve…
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Keywords:
error compensation;
based error;
error;
error sensitivity ... See more keywords
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Published in 2025 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/ade907
Abstract: To solve the issues of locating and measurement errors that are presented in the visual inspection system for small module gears, an image sub-pixel location algorithm and gear measurement method were presented in this paper.…
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Keywords:
visual measurement;
module;
error compensation;
small module ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2942638
Abstract: The cone error compensation algorithm and the sculling error compensation algorithm are two important components of the inertial navigation algorithm. At present, scholars have done a lot of research on cone error compensation, and have…
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Keywords:
compensation algorithm;
cone error;
error;
error compensation ... See more keywords
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Published in 2025 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2024.3490855
Abstract: Federated learning (FL) has emerged as a popular distributed machine-learning paradigm. It involves many rounds of iterative communication between nodes to exchange model parameters. With the increasing complexity of ML tasks, the models can be…
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Keywords:
cost;
sparsification;
error compensation;
proposed algorithm ... See more keywords