Results 11 to 20 of about 8,181 (194)
Unscented Particle Filter Algorithm Based on Divide-and-Conquer Sampling for Target Tracking [PDF]
Sensors, 2021 Unscented particle filter (UPF) struggles to completely cover the target state space when handling the maneuvering target tracing problem, and the tracking performance can be affected by the low sample diversity and algorithm redundancy.
Sichun Du, Qing Deng
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Vehicle dynamics prediction via adaptive robust unscented particle filter
Advances in Mechanical Engineering, 2023 Accurate knowledge of the vehicle dynamics response is a critical aspect to improve handling performance while ensuring safe driving at the same time. However, it poses a challenge since not all the quantities of interest can be directly measured due to ...
Yingjie Liu, Dawei Cui
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3D Turning Target Tracking Method Based on Particle Filter [PDF]
Hangkong bingqi, 2022 In order to improve the tracking accuracy of turning targets, a 3D turning target tracking method based on particle filter is proposed. Aiming at the HGB maneuvering target in 3D space, this article first proposes a 3D turning motion model and ...
Feng Yaqiang, Song Long, Zhang Gongping
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A Robust Model-Based Approach for Bearing Remaining Useful Life Prognosis in Wind Turbines
IEEE Access, 2020 Accurate remaining useful life prognosis of bearings in wind turbines can effectively help to schedule maintenance strategy and reduce operational costs at wind farms. Unscented particle filter is good at state tracking in nonlinear problem.
Wei Teng +5 more
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Higher order sigma point filter: A new heuristic for nonlinear time series filtering [PDF]
, 2013 In this paper we present some new results related to the higher order sigma point filter (HOSPoF), introduced in [1] for filtering nonlinear multivariate time series. This paper makes two distinct contributions.
Anderson +16 more
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Double hybrid Kalman filtering for state estimation of dynamical systems [PDF]
ITM Web of Conferences, 2019 In this paper authors present a new approaches to the hybrid Kalman filtering and modified hybrid Kalman filtering, with the changed order of methods inside (Unscented Kalman Filter and Extended Kalman Filter).
Michalski Jacek +2 more
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Kalman-variant estimators for state of charge in lithium-sulfur batteries [PDF]
, 2017 Lithium-sulfur batteries are now commercially available, offering high specific energy density, low production costs and high safety. However, there is no commercially-available battery management system for them, and there are no published methods for ...
Auger, Daniel J. +4 more
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A Dynamic State-of-Charge Estimation Method for Electric Vehicle Lithium-Ion Batteries
Energies, 2019 With the increasing environmental concerns, plug-in electric vehicles will eventually become the main transportation tools in future smart cities. As a key component and the main power source, lithium-ion batteries have been an important object of ...
Xintian Liu +4 more
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Consensus-based distributed unscented particle filter [PDF]
2011 IEEE Statistical Signal Processing Workshop (SSP), 2011 In this paper, we propose a consensus-based, distributed implementation of the unscented particle filter (CD/UPF) that extends the distributed Kalman filtering framework to non-linear, distributed dynamical systems with non-Gaussian excitations.
Arash Mohammadi, Amir Asif
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Unscented Dual Quaternion Particle Filter for SE(3) Estimation
IEEE Control Systems Letters, 2021 We present a novel dual quaternion filter for recursive estimation of rigid body motions. Based on the sequential Monte Carlo scheme, particles are deployed on the manifold of unit dual quaternions. This allows non-parametric modeling of arbitrary distributions underlying on the SE(3) group.
Kailai Li 0001 +2 more
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