Results 91 to 100 of about 2,942 (188)
World Electric Vehicle JournalIn order to solve the problem that intelligent vehicle active collision avoidance systems have different decision-making results under different road conditions, the square-root cubature Kalman filtering algorithm is used to estimate the road adhesion ...
Hongxiang Wang, Jian Wang, Ruofei Du
doaj +1 more source
Nonlinear Attitude Filtering: A Comparison Study [PDF]
, 2015 This paper contains a concise comparison of a number of nonlinear attitude filtering methods that have attracted attention in the robotics and aviation literature.
Mahony, R., Trumpf, J., Zamani, M.
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IET Control Theory &Applications, Volume 19, Issue 1, January/December 2025.The impetus of this work is to develop a more accurate filter, the Gaussian sum adaptive sparse grid quadrature filter, which can be applied to non‐linear non‐Gaussian systems. Based on the Gaussian sum filter framework, the sparse grid quadrature filter is used as a sub‐filter to complete the filtering, and a weighting function is created to ...
Chen Qian +3 more
wiley +1 more source
Application of Strong Tracking Cubature Kalman Filter in Air-to-Air Missile Guidance [PDF]
Hangkong bingqiA strong tracking cubature Kalman filter(STCKF) method is proposed to overcome the challenges of insufficient nonlinear approximation capability and decreased tracking accuracy of traditional filtering algorithms in dealing with complex maneuvering ...
Liang Jinxin, Tang Qi, Cui Hao, Zhang Gongping
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IET Control Theory &Applications, Volume 19, Issue 1, January/December 2025.This work addresses the issue of rejection delay due to DoS attacks triggered by historical measurements during the transmission of a large amount of measurement data in WECS‐based networked microgrids. We propose a novel robust SRCKF method, designated as MCC‐SRCKF, which incorporates MCC into the SRCKF structure of DSE.
Xiao Hu +4 more
wiley +1 more source
International Journal of Cognitive Computing in EngineeringOptimization problems arise in diverse fields such as engineering, economics, and industry. Metaheuristic algorithms, including the Simulated Kalman Filter (SKF), have been developed to solve these problems.
Zulkifli Musa +2 more
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Entropy, 2019 In this paper, an application of spherical radial cubature Bayesian filtering and smoothing algorithms is presented to solve a typical underwater bearings only passive target tracking problem effectively.
Wasiq Ali +5 more
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IEEE Access, 2018 An improved Gaussian Filter (GF) is designed for nonlinear Dynamic Positioning (DP) ships with cross-correlated colored noises and random measurements loss.
Xiaogong Lin, Yuzhao Jiao, Dawei Zhao
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Cubature Kalman Particle Filters [PDF]
Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013), 2013 Kai Zhang +3 more
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Adaptive Minimum Error Entropy Cubature Kalman Filter in UAV-Integrated Navigation Systems
DronesSmall unmanned aerial vehicles are now commonly equipped with integrated navigation systems to obtain high-precision navigation parameters. However, affected by the dual impacts of multipath effects and dynamic environmental changes, their state ...
Xuhang Liu +6 more
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