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An application of particle filter for FDI oriented change detection and bounded parameter estimation
(IEEE, 2007)
In their original formulations, state estimation schemes such as Kalman Filter, do not allow the incorporation of prior information on their physical bounds. This results in a certain probability of generating estimates ...
The Diffusion Kernel Filter
(SPRINGER, 2009)
A particle filter method is presented for the discrete-time filtering problem with nonlinear ItA ` stochastic ordinary differential equations (SODE) with additive noise supposed to be analytically integrable as a function ...
Chi-squared smoothed adaptive particle-filtering based prognosis
(Academic Press-Elsevier, 2017)
This paper presents a novel form of selecting the likelihood function of the standard sequential importance sampling/re-sampling particle filter (SIR-PF) with a combination of sliding window smoothing and chi-square statistic ...
Nova proposta de critério de retenção para dimensionamento de filtros têxteis
(2006-01-01)
The designs of filters made by granular material or textile are mainly based on empirical or semi empirical retention criteria according to Terzaghi proposal, which compares particle diameter of the soil base with the ...
Nova proposta de critério de retenção para dimensionamento de filtros têxteis
(2006-01-01)
The designs of filters made by granular material or textile are mainly based on empirical or semi empirical retention criteria according to Terzaghi proposal, which compares particle diameter of the soil base with the ...
Early online detection of high volatility clusters using Particle Filters
(Elsevier, 2016-07)
This work presents a novel online early detector of high-volatility clusters based on uGARCH models (a variation of the GARCH model), risk-sensitive particle-filtering-based estimators, and hypothesis testing procedures. ...
Desempenho de meios filtrantes na remoção de partículas nanométricas de aerossóis
(Universidade Federal de São CarlosBRUFSCarPrograma de Pós-Graduação em Engenharia Química - PPGEQ, 2009-03-12)
The interest of studies on the development of techniques for removal of particles in the nanosized scale was promoted by concern about air quality and human health, in addition to restrictions on the control of ultrafine ...
Rao-blackwellized particle filter for the cbers-4 attitude and gyros bias estimation
(2020-01-01)
The Rao-Blackwellized particle Filter (RaoBPF) and the Unscented Kalman Filter (UKF) were developed in this work to attitude and gyros bias estimation using simulated orbit and attitude measurement data for CBERS-4 (China ...
Rao-Blackwellized Particle Filter for the CBERS-4 attitude and gyros bias estimation
(2022-04-01)
The Rao-Blackwellized Particle Filter (RaoBPF) and the Unscented Kalman Filter (UKF) were applied in this work to attitude and gyros bias estimation using simulated orbit and attitude measurement data for CBERS-4 (China ...