Results 31 to 40 of about 650,336 (291)
A Method for Battery Health Estimation Based on Charging Time Segment
Energies, 2021 The problem of low accuracy and low convenience in the existing state of health (SOH) estimation method for vehicle lithium-ion batteries has become one of the important problems in the electric vehicle field.
Shao-Xun Liu +4 more
doaj +1 more source
The Coordinate Particle Filter - A novel Particle Filter for High Dimensional Systems
, 2015 Parametric filters, such as the Extended Kalman Filter and the Unscented Kalman Filter, typically scale well with the dimensionality of the problem, but they are known to fail if the posterior state distribution cannot be closely approximated by a ...
Bohg, Jeannette +4 more
core +1 more source
, 2021 Both the particle and Kalman filters attempt to approximate the minimum mean-square error (MMSE) estimate of the time-varying parameter. In this scenario, a prior model of the time evolution of the parameter of interest is assumed before the MMSE estimation takes place.
openaire +3 more sources
Optimal Intermittent Particle Filter
IEEE Transactions on Signal Processing, 2022 13 pages, 7 figures, 3 ...
Antoine Aspeel +3 more
openaire +3 more sources
Bernoulli, 2013 Subject of this master thesis is the presentation of a methodology, called Particle filters, a class of Sequential Monte Carlo (SMC) methods used to sample sequentially from a sequence of high-dimensional and complex probability distributions. A cloud of particles evolves over time as new observations become available to approximate the posterior ...
+7 more sources
Leida xuebao, 2019 Under the clutter background condition, the existing particle filter pre-detection tracking algorithm based on Probability Hypothesis Density (PHD) filtering is not accurate enough to estimate the number of targets in dense multi-objectives.
PEI Jiazheng +4 more
doaj +1 more source
International Journal of Aerospace Engineering, 2021 In order to investigate the distribution characteristics of gas-particle two-phase flow in the diesel particulate filter in the capture process, a mathematical model of gas-particle two-phase flow for inside-and-outside filter had been established in the
Jianyu Li, Chunping Lu, Dongli Tan
doaj +1 more source
Interacting Multiple Model-Feedback Particle Filter for Stochastic Hybrid Systems
, 2013 In this paper, a novel feedback control-based particle filter algorithm for the continuous-time stochastic hybrid system estimation problem is presented.
Blom, Henk A. P. +2 more
core +1 more source
On parameter estimation of stochastic volatility models from stock data using particle filter - Application to AEX index - [PDF]
, 2009 We consider the problem of estimating stochastic volatility from stock data. The estimation of the volatility process of the Heston model is not in the usual framework of the filtering theory. Discretizing the continuous Heston model to the discrete-time
Aihara, ShinIchi +2 more
core +7 more sources
Improved Rao-Blackwellized Particle Filter by Particle Swarm Optimization
Journal of Applied Mathematics, 2013 The Rao-Blackwellized particle filter (RBPF) algorithm usually has better performance than the traditional particle filter (PF) by utilizing conditional dependency relationships between parts of the state variables to estimate.
Zeng-Shun Zhao +8 more
doaj +1 more source