Filters
The Development of a Randomised Unscented Kalman Filter
The paper deals with state estimation of nonlinear stochastic dynamic systems. Traditional filters providing local estimates of the states, such as the extended Kalman filter, unscented Kalman filter or th...
BC - Teorie a systémy řízení
- 2011 •
- Jx •
- Link
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Výsledek na webu
On Persistence of Convergence of Kernel Density Estimates in Particle Filtering
A sufficient condition is provided for keeping the character of the filtering density in the filtering task. This is done for the Sobolev class of filtering densities. As a consequence, estimating the filtering...
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2020 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
On Persistence of Convergence of Kernel Density Estimates in Particle Filtering
A sufficient condition is provided for keeping the character of the filtering density in the filtering task. This is done for the Sobolev class of filtering densities. As a consequence, estimating the filtering...
Statistics and probability
- 2020 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Sigma Point Gaussian Sum Filter Design Using Square Root Unscented Filters
are presented. The estimation quality and computational demands of the designed filterLocal and global estimation approaches are discussed, above all the Unscented Kalman Filter and the Gaussian Sum Filter
BC - Teorie a systémy řízení
- 2006 •
- C
Rok uplatnění
C - Kapitola v odborné knize
Estimation of state variables of single-phase LCL filter
The aim of this article was to describe design and verification of the estimator of state variables for single-phase LCL filter. Proposed design uses Kalman filter as the estimator and Simulink/Plecs environment fo...
JA - Elektronika a optoelektronika, elektrotechnika
- 2015 •
- O
Rok uplatnění
O - Ostatní výsledky
Parameter Estimation of MLP Network by Particle Filters
filter if it is used for the parameter estimation of multi-layer perceptron network. Further, the particle filter based estimators such as the extended Kalman particleParameter estimation of a multi-layer...
BB - Aplikovaná statistika, operační výzkum
- 2006 •
- D
Rok uplatnění
D - Stať ve sborníku
PARTICLE FILTER WITH ADAPTIVE SAMPLE SIZE
The paper deals with the particle filter in state estimation of a discrete-time adaptation technique to guarantee a quality of a filtering estimate produced by the particle filter which is an approximation...
BC - Teorie a systémy řízení
- 2011 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Entropy-based Consistency Monitoring for Stochastic Integration Filter
The paper deals with state estimation of nonlinear stochastic dynamic discrete-time systems with a special focus on the stochastic integration filter. The filter is an instance of Gaussian filters, which for strong...
Automation and control systems
- 2018 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Truncated Unscented Particle Filter
estimation problem is proposed. The importance function of the particle filterThe problem of state estimation of nonlinear stochastic dynamic systems with nonlinear inequality constraints is treated. The paper focuses on a...
BC - Teorie a systémy řízení
- 2011 •
- D
Rok uplatnění
D - Stať ve sborníku
Self-assessment of Local Filters by Non-Gaussianity Measures
The paper deals with state estimation of stochastic nonlinear systems by means of local filters. A new technique is designed to provide a self-assessment of the filter with respect to its estimate quality. It uses ...
BC - Teorie a systémy řízení
- 2014 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
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