Results 41 to 50 of about 25,371 (266)
On the Relation Between Smooth Variable Structure and Adaptive Kalman Filter
Frontiers in Applied Mathematics and Statistics, 2020 This article is addressed to the topic of robust state estimation of uncertain nonlinear systems. In particular, the smooth variable structure filter (SVSF) and its relation to the Kalman filter is studied.
Mark Spiller, Dirk Söffker
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, 2013 Publication in the conference proceedings of EUSIPCO, Marrakech, Morocco ...
Subhro Das, José M. F. Moura
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Advanced Intelligent Discovery, EarlyView.Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin +4 more
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Advances in Mechanical Engineering, 2017 The robust parameter estimation of unknown space objects is essential to the on-orbit servicing missions. Based on the adaptive filtering techniques along with the dual quaternions modeling methods for pose estimation, this article proposes a dual vector
Xianghao Hou +3 more
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Robust self-adaptive Kalman filter with application in target tracking
Measurement + Control, 2022 Kalman filter has been applied extensively to the target tracking. The estimation performance of Kalman filter is closely resulted by the quality of prior information about the process noise covariance (Q) and the measurement noise covariance (R ...
Yi-Wei Chen, Ken-Ming Tu
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Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.It is a fact that slippage causes tracking errors in both longitudinal and lateral directions which results to have less travel distance in tracking a reference trajectory. Less travel distance means having energy loss of the battery and carrying loads less than planned.
Gokhan Bayar +2 more
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IMPLEMENTASI DAN PENGUJIAN ALGORITMA PARALLEL KALMAN FILTER PADA PLATFORM KOMPUTER MULTICORE
Komputika, 2021 Kalman filter merupakan algoritma penting dalam dunia pemrograman yang penggunaannya sangat luas. Dari mulai penggunaan pada pemrosesan gambar hingga ke kontrol navigasi pesawat terbang.
Arkan Muhammad Irsyad Sadeli
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Improved Kalman Filter Method for Measurement Noise Reduction in Multi Sensor RFID Systems
Sensors, 2011 Recently, the range of available Radio Frequency Identification (RFID) tags has been widened to include smart RFID tags which can monitor their varying surroundings.
Min Chul Kim +5 more
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Autodifferentiable Ensemble Kalman Filters
SIAM Journal on Mathematics of Data Science, 2022 Data assimilation is concerned with sequentially estimating a temporally-evolving state. This task, which arises in a wide range of scientific and engineering applications, is particularly challenging when the state is high-dimensional and the state-space dynamics are unknown.
Yuming Chen +2 more
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Advanced Intelligent Systems, EarlyView.This paper presents a lidar‐based sensor node design and a rule‐based state observer for edge‐based traffic participant tracking. Unlike other state‐of‐the‐art methods, this state observer enables real‐time, CPU‐only edge processing without relying on machine learning approaches.
Simon Schäfer +2 more
wiley +1 more source