Results 31 to 40 of about 12,338 (264)
A Novel Filtering Algorithm of Data Acquisition for Electrical Capacitance Tomography
Journal of Harbin University of Science and Technology, 2018 On the basis of analyzing the filtering algorithm of ECT data acquisition system，according to the characteristics of Kalman filter and wavelet transform，a filtering algorithm based on the characteristics of Kalman filtering and wavelet transform is ...
YANG Ting, CHEN De-yun, WANG Li-li
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BarekengThis paper discusses the stability analysis of robust Kalman filtering on uncertain continuous-time systems. In real applications, systems often face model uncertainty and noise affecting prediction and estimation accuracy.
Budi Rudianto +3 more
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Hybrid Adaptive Cubature Kalman Filter with Unknown Variance of Measurement Noise
Sensors, 2018 This paper is concerned with the filtering problem caused by the inaccuracy variance of measurement noise in real nonlinear systems. A novel weighted fusion estimation method of multiple different variance estimators is presented to estimate the variance
Yuepeng Shi +4 more
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Design and Implementation of a Two-Wheeled Self-Balancing Car Using a Fuzzy Kalman Filter
Applied SciencesTo improve the upright balancing performance of the two-wheeled self-balancing car, this paper proposes an attitude estimation algorithm based on fuzzy Kalman filtering. Fuzzy logic is used to correct the inclination angle and angular velocity of the two-
Yimin Ma +2 more
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SOC Estimation of Lithium Iron Phosphate Battery Based on Kalman Filtering Algorithm
Chemical Engineering Transactions, 2017 In order to improve the estimation accuracy of the state of charge (SOC) of electric vehicle, a second-order RC equivalent circuit model considering the battery capacity time-variation is proposed.
Bin Zhao, Jingui Liu, Hao Li
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Aircraft Inertial Measurement Unit Fault Diagnosis Based on Optimal Two-Stage UKF [PDF]
Xibei Gongye Daxue Xuebao, 2018 Optimal two stage Kalman filter (OTSKF) is able to obtain optimal estimation of system states and bias for linear system which contains random bias. Unscented Kalman filter (UKF) is a conventional nonlinear filtering method which utilizes Sigmas point ...
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Advanced Robotics Research, EarlyView.Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek +3 more
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Kalman filtering with adversarial corruptions
Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing, 2022 57 pages, comments ...
Chen, Sitan +3 more
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Terahertz Channel Modeling, Estimation and Localization in RIS‐Assisted Systems
Advanced Electronic Materials, EarlyView.Reconfigurable intelligent surfaces have become a recent intensive research focus. Based on practical applications, channel strategies for RIS‐assisted terahertz wireless communication systems are categorized into three different types: channel modeling, channel estimation, and channel localization.
Hongjing Wang +9 more
wiley +1 more source
Advanced Electronic Materials, EarlyView.In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj +4 more
wiley +1 more source