Laplace estimation for scalar linear systems

NC Duong, JL Speyer, M Idan - Automatica, 2022 - Elsevier
Uncertainties in many physical systems have impulsive properties poorly modeled by
Gaussian distributions. Refocusing previous work, an estimator is derived for a scalar …

Multivariate estimator for linear dynamical systems with additive Laplace measurement and process noises

NC Duong, JL Speyer, M Idan - SIAM Journal on Control and Optimization, 2022 - SIAM
Since uncertainties in many physical systems have impulsive properties poorly modeled by
Gaussian distributions, heavier-tailed distributions, such as Laplace, may be used to …

New grid for particle filtering of multivariable nonlinear objects

P Kozierski, J Michalski, T Sadalla… - 2018 Federated …, 2018 - ieeexplore.ieee.org
In the paper a new grid (potentially linear, nonlinear and even semi-Markovian jump system)
was presented. All transition and measurement functions were proposed. Moreover, the …

A new network for particle filtering of multivariable nonlinear objects

P Kozierski, J Michalski, J Zietkiewicz, M Retinger… - Energies, 2020 - mdpi.com
In this paper, a new object in the form of a theoretical network is presented, which is useful
as a benchmark for particle filtering algorithms designed for multivariable nonlinear systems …

[图书][B] State Estimation for Discrete Linear Systems with Additive Laplace Noise

NC Duong - 2020 - search.proquest.com
State estimators are developed for discrete linear systems with scalar additive Laplace
process and measurement noises and their properties are analyzed. For the scalar case, an …

Particle Filtering in Servo Drive Velocity Control with Fractional-Order PI Controller

T Sadalla, P Kozierski, D Horla, W Giernacki… - … 2018: Advances in …, 2018 - Springer
The main aim of this paper is to compare the closed-loop system based on combination of
Fractional-order PI and Particle Filter with combination of Fractional-order PI and Kalman …