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A Novel Particle Filter Based on One-Step Smoothing for Nonlinear Systems with Random One-Step Delay and Missing Measurements [PDF]
SensorsIn this paper, a novel particle filter based on one-step smoothing is proposed for nonlinear systems with random one-step delay and missing measurements. Such problems are commonly encountered in networked control systems, where random one-step delay and
Zhenrong Yang +3 more
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The Neural Particle Filter [PDF]
, 2016 The robust estimation of dynamically changing features, such as the position of prey, is one of the hallmarks of perception. On an abstract, algorithmic level, nonlinear Bayesian filtering, i.e.
Kutschireiter, Anna +3 more
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Constrained Cubature Particle Filter for Vehicle Navigation [PDF]
SensorsIn vehicle navigation, it is quite common that the dynamic system is subject to various constraints, which increases the difficulty in nonlinear filtering.
Li Xue, Yongmin Zhong, Yulan Han
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Forecasting-aided state estimation of integrated energy systems based on improved particle filter
电力工程技术, 2022 Efficient and accurate state estimation is the basis for the safety and stability of the integrated energy system (IES). Particle filter has high precision and strong adaptability to nonlinear systems,and it has been applied to state estimation of power ...
YANG Dechang +5 more
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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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IEEE Access, 2021 We present an approach which combines the sample regenerating particle filter (SRGPF) and unequal weight ensemble Kalman filter (UwEnKF) to obtain a more accurate forecast for nonlinear dynamic systems.
Xiao Li, Ai Jie Cheng, Hai Xiang Lin
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Multilevel Particle Filters [PDF]
SIAM Journal on Numerical Analysis, 2017 In this paper the filtering of partially observed diffusions, with discrete-time observations, is considered. It is assumed that only biased approximations of the diffusion can be obtained, for choice of an accuracy parameter indexed by $l$. A multilevel estimator is proposed, consisting of a telescopic sum of increment estimators associated to the ...
Jasra, Ajay +3 more
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Influence of Oil Content on Particle Loading Characteristics of a Two-Stage Filtration System
Atmosphere, 2023 Filter media may encounter aerosols mixed with solid and oil ingredients from various sources, such as industries, transportation, and households, in the air purification process, while the influence such oil content has on the loading performance of ...
Xinjiao Tian +6 more
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Feedback Particle Filter [PDF]
IEEE Transactions on Automatic Control, 2013 A new formulation of the particle filter for nonlinear filtering is presented, based on concepts from optimal control, and from the mean-field game theory. The optimal control is chosen so that the posterior distribution of a particle matches as closely as possible the posterior distribution of the true state given the observations. This is achieved by
Yang, Tao +2 more
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Applied Sciences, 2022 In this paper, a particle filter design scheme for a robust nonlinear control system of uncertain heat exchange process against noise and communication time delay is presented.
Yuanhong Xu, Mingcong Deng
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