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120 780 (0,301s)

Result

Design of Efficient Point-Mass Filter for Linear and Nonlinear Dynamic Models

to the Chapman-Kolmogorov equation by the widely-used point-mass method. It is shown, that the standard prediction step of the point-mass filter can be decomposed into two parts making the point-...

Automation and control systems

  • 2023
  • Jimp
  • Link
Result

Density Approximation Error Assessment and Compensation in Point-Mass Filter

systems with an emphasis on a probability density function approximation used by point-mass filters. Approximation error of the standard point-mass density is analysed and quantified, and a novel poin...

Automation and control systems

  • 2022
  • D
  • Link
Result

Rao-Blackwellized Point Mass Filter for Reliable State Estimation

We present a Rao-Blackwellized point mass filter (RB-PMF) as a deterministic for repeated runs over the same data. Moreover, the point mass approximation offers more filter is capable to estimate ...

BC - Teorie a systémy řízení

  • 2013
  • O
Result

Point-mass Filter with Non-equidistant Grid Design

(PDFs), global filters can capture more complex, non-Gaussian PDFs. The point-mass filter (PMF) is a global filter that discretises the state-space into a grid and approximates the PDF as a piecewise cons...

Automation and control systems

  • 2025
  • O
  • Link
Result

Design of Rao-Blackwellised Point-Mass Filter with Application in Terrain Aided Navigation

Rao-Blackwellised point-mass filter for nonlinear state-space models of a specific structure typically used in the terrain aided navigation. The proposed filter preserves advantages of the point-mass<...

Automation and control systems

  • 2018
  • Jimp
  • Link
Result

Distributed Point-Mass Filter with Reduced Data Transfer Using Copula Theory

This paper deals with distributed Bayesian state estimation of generally nonlinear stochastic dynamic systems. In particular, distributed point-mass filter algorithm is developed. It is comprised of a basic part that is acc...

Automation and control systems

  • 2023
  • D
  • Link
Result

Reliable Convolution in Point-Mass Filter for a Class of Nonlinear Models

This paper is devoted to the Bayesian state estimation of the nonlinear stochastic dynamic systems. The stress is laid on the numerical solution to the Bayesian recursive relations by the point-mass filter for a class of st...

Automation and control systems

  • 2020
  • D
  • Link
Result

Comparison of Discrete and Continuous State Estimation with Focus on Active Flux Scheme

solution to the Bayesian relations by the point-mass filters. The filters for discrete accurate and fast active flux method is introduced and adapted for a continuous filter design. A wide set of the ...

Automation and control systems

  • 2021
  • D
  • Link
Result

Conditional Density Driven Grid Design in Point-Mass Filter

recursive relations using the point-mass filter (PMF). In the paper, a novel conditional, the CDDG design improves the point-mass approximation of the conditional densities-equidistant grid points

Automation and control systems

  • 2020
  • D
  • Link
Result

Neural Augmented Adaptive Grid Design for Point-Mass Filter

This paper deals with the state estimation of nonlinear systems described by dynamic stochastic state-space models using a point-mass filter (PMF). The PMF by a piece-wise constant probability density, called the point<...

Automation and control systems

  • 2025
  • D
  • Link
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