Results 1 to 10 of about 2,788,570 (251)
Adaptive Moving Horizon Estimator for Return Flow Rate Estimation using Fluid Levels of a Venturi Channel [PDF]
Real-time estimation of the return drilling fluid during oil well drilling is investigated in this study. Online fluid level measurements from a Venturi channel which can be placed on the return flowline is used with a model-based estimator.
Asanthi Jinasena, Roshan Sharma
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In measurement systems operating under various disturbances the probabilistic characteristics of measurement noises are usually known approximately. To improve the observation accuracy, a new approach to the Kalman’s filter adaptation is proposed.
Sergey Sokolov +2 more
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A DOA and TOA joint estimation algorithm based on deep transfer learning
This letter proposes a direction of arrival (DOA) and time of delay (TOA) joint estimation algorithm with deep transfer learning. Recently deep learning technique has been applied to solve the joint estimation problem by using the pretrained network and ...
Heng Pan, Shuang Wei
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Tight integration algorithms fusing Global Navigation Satellite System (GNSS) and Inertial Navigation System (INS) have become popular in many high-accuracy positioning and navigation applications.
Oliviero Vouch +3 more
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This paper proposes an adaptive distributed hybrid control approach to investigate the output containment tracking problem of heterogeneous wide-area networks with intermittent communication. First, a clustered network is modeled for a wide-area scenario.
Yanpeng Shi +2 more
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Cooperative estimation algorithms for multi-sensor networks with imprecise measurements [PDF]
A cooperative estimation algorithm is proposed for mutli-sensor networks with imprecise measurements caused by electromagnetic interferences, abnormal currents and other faults in the multi-sensor measurement process.
Chen Jianxin +5 more
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Computationally efficient direction of arrival estimation using adaptive grid selection
The authors propose a computationally efficient approach to estimate the directions of arrival of far‐field sources impinging on a sensor array. The proposed estimator is formed using a sparse reconstruction framework, employing a novel adaptive grid ...
Yanan Wu, Andreas Jakobsson, Lutao Liu
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Recently, multi-sensor navigation has emerged as a viable approach in autonomous vehicles' development. Kalman filtering has been widely applied in multi-sensor data fusion, and researchers are trialing variants of the Kalman Filter (KF) to improve the ...
Wenwen Liu +2 more
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In order to solve the problems of difficult control, poor stability, and low control precision in complex autonomous non‐linear systems, and some sensors have non‐linear errors in special environments.
Weibin Wu +7 more
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Frequency Adaptive Parameter Estimation of Unbalanced and Distorted Power Grid
Grid synchronization plays an important role in the grid integration of renewable energy sources. To achieve grid synchronization, accurate information of the grid voltage signal parameters are needed.
Hafiz Ahmed +4 more
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