Results 91 to 100 of about 75,448 (316)
Application of Kalman filter in underground personnel tracking and positioning
Gong-kuang zidonghua, 2013 In view of problem that RSSI location algorithm does not have continuity in positioning process, the paper proposed an underground personnel positioning method with continuity based on Kalman filter.
LUO Yu-feng, LIU Yong, LI Fang
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Geometry of Kalman Filters [PDF]
, 2012 In this paper is presented a geometric explanation of Kalman filters in terms of a symplectic linear space and a special quadratic form on it. It is an extension of the work of Bougerol with application of a different metric introduced earlier. The author's purpose in this paper is to show that both contraction properties can be understood purely in ...
openaire +3 more sources
, 2012 This paper describes new approaches to improve the local and global approximation (matching) and modeling capability of Takagi–Sugeno (T-S) fuzzy model. The main aim is obtaining high function approximation accuracy and fast convergence. The main problem
Al-Hadithi, Basil M. +2 more
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A particle filter for freeway traffic estimation [PDF]
, 2004 This paper considers the traffic flow estimation problem for the purposes of on-line traffic prediction, mode detection and ramp-metering control. The solution to the estimation problem is given within the Bayesian recursive framework. A particle filter (
Mihaylova, Lyudmila +7 more
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Deep Underground Science and Engineering, EarlyView.This review synthesizes advances in predicting miners' vital signs by integrating environmental monitoring (dust, temperature, and gas) with physiological data. It highlights multi‐source data fusion techniques and early‐warning models for enhanced occupational safety in underground coal mines.
Junji Zhu +4 more
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Spatio‐Temporal Dual‐Encoder Transformer for Short‐Term Regional Wind Power Forecasting
Energy Science &Engineering, EarlyView.ST‐DualFormer separates temporal and spatial encoding to model complex dependencies in regional wind power forecasting. The fused dual‐stream representation enables accurate short‐term regional forecasts from multi‐farm meteorological and historical power data. The method achieved 5.25% nMAE and 7.53% nRMSE for three‐day‐ahead forecasting on real‐world
Jianfeng Che +4 more
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Precision planter monitoring system based on mobile communication network
IET Networks, EarlyView., 2022 Abstract Sowing is an important link in agricultural production and the basis for ensuring high yields and bumper harvests. Agriculture requires precision plows with good performance and stable work. However, the seeding process is in a completely closed state, and the operator relies mainly on experience to judge the operating state and performance of
Bing Li, Jiyun Li
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Applications of the Kalman Filter in Physical Processes: A Review
Applied SciencesThis article outlines various specialized adaptations of the Kalman Filter designed to address specific estimation challenges across different domains of Physics.
Ioanna Anagnostaki +2 more
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The Kalman Filter Revisited Using Maximum Relative Entropy
Entropy, 2014 In 1960, Rudolf E. Kalman created what is known as the Kalman filter, which is a way to estimate unknown variables from noisy measurements. The algorithm follows the logic that if the previous state of the system is known, it could be used as the best ...
Adom Giffin, Renaldas Urniezius
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Journal of Low Frequency Noise, Vibration and Active Control, 2020 The extended Kalman filter is a useful tool in the research of structural health monitoring and vibration control. However, the traditional extended Kalman filter approach is only applicable when the information of external inputs to structures is ...
Jinshan Huang +4 more
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