Results 11 to 20 of about 1,923,141 (282)
A Novel Particle Filter Based on One-Step Smoothing for Nonlinear Systems with Random One-Step Delay and Missing Measurements [PDF]
In 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
doaj +2 more sources
Constrained Cubature Particle Filter for Vehicle Navigation [PDF]
In 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
doaj +2 more sources
A particle filter for freeway traffic estimation [PDF]
This paper considers the traffic flow estimation problem for the purposes of on-line traffic prediction, mode detection and ramp-metering control. The solution to the estimation problem is given within the Bayesian recursive framework. A particle filter (
Mihaylova, Lyudmila +7 more
core +5 more sources
Combined data association and evolving particle filter for tracking of multiple articulated objects. [PDF]
This paper proposes an approach for tracking multiple articulated targets using a combined data association and evolving population particle filter. A visual target is represented as a pictorial structure using a collection of parts together with a model
Mihaylova, Lyudmila +7 more
core +4 more sources
Forecasting-aided state estimation of integrated energy systems based on improved particle filter
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
doaj +1 more source
Multiple object tracking using particle filters [PDF]
The particle filtering technique with multiple cues such as colour, texture and edges as observation features is a powerful technique for tracking deformable objects in image sequences with complex backgrounds.
Canagarajah, N. +3 more
core +5 more sources
3D Turning Target Tracking Method Based on Particle Filter [PDF]
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
doaj +1 more source
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
doaj +1 more source
Multilevel Particle Filters [PDF]
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 ...
Ajay Jasra +3 more
openaire +5 more sources
Influence of Oil Content on Particle Loading Characteristics of a Two-Stage Filtration System
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
doaj +1 more source

