Results 41 to 50 of about 1,923,141 (282)
A hybrid particle-ensemble Kalman filter for problems with medium nonlinearity.
PLoS ONE, 2021 A hybrid particle ensemble Kalman filter is developed for problems with medium non-Gaussianity, i.e. problems where the prior is very non-Gaussian but the posterior is approximately Gaussian. Such situations arise, e.g., when nonlinear dynamics produce a
Ian Grooms, Gregor Robinson
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Brief paper: Freeway traffic estimation within particle filtering framework [PDF]
, 2007 This paper formulates the problem of real-time estimation of traffic state in freeway networks by means of the particle filtering framework. A particle filter (PF) is developed based on a recently proposed speed-extended cell-transmission model of ...
Mihaylova, Lyudmila +2 more
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Distributed SLAM Using Improved Particle Filter for Mobile Robot Localization
The Scientific World Journal, 2014 The distributed SLAM system has a similar estimation performance and requires only one-fifth of the computation time compared with centralized particle filter.
Fujun Pei, Mei Wu, Simin Zhang
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An improved particle filtering algorithm for aircraft engine gas-path fault diagnosis
Advances in Mechanical Engineering, 2016 In this article, an improved particle filter with electromagnetism-like mechanism algorithm is proposed for aircraft engine gas-path component abrupt fault diagnosis.
Qihang Wang, Jinquan Huang, Feng Lu
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MethodsX, 2022 The concentrations of small microplastics (diameter
Haodong Xu, Hisayuki Arakawa
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Digital IIR filter design using particle swarm optimisation [PDF]
, 2010 Adaptive infinite-impulse-response (IIR) filtering provides a powerful approach for solving a variety of practical signal processing problems. Because the error surface of IIR filters is typically multimodal, global optimisation techniques are generally ...
Chen, Sheng, Luk, Bing L.
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An improved unbiased particle filter
Monte Carlo Methods and Applications, 2023 Abstract In this paper, we consider the filtering of partially observed multi-dimensional diffusion processes that are observed regularly at discrete times. We assume that, for numerical reasons, one has to time-discretize the diffusion process, which typically leads to filtering that is subject to discretization bias. The approach in [A.
Ajay Jasra +2 more
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Nonlinear Vibration Signal Tracking of Large Offshore Bridge Stayed Cable Based on Particle Filter
Polish Maritime Research, 2015 The stayed cables are key stress components of large offshore bridge. The fault detection of stayed cable is very important for safe of large offshore bridge.
Ye Qingwei, Feng Zhimin, Yuan Debin
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Saturated particle filter [PDF]
Proceedings of the 2011 American Control Conference, 2011 In many practical applications the state variables are defined on a compact set of the state space. For estimating such variables constrained particle filters have been successfully applied to nonlinear systems. For the saturated system the measurement information can be used during the sampling procedure to obtain particles that approximate the true ...
Pawel Stano +2 more
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Particle Flow Gaussian Particle Filter
2022 25th International Conference on Information Fusion (FUSION), 2022 State estimation in non-linear models is performed by tracking the posterior distribution recursively. A plethora of algorithms have been proposed for this task. Among them, the Gaussian particle filter uses a weighted set of particles to construct a Gaussian approximation to the posterior.
Comandur, Karthik +2 more
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