Results 81 to 90 of about 3,255 (177)

Mixture truncated unscented Kalman filtering [PDF]

, 2012
This paper proposes a computationally efficient nonlinear filter that approximates the posterior probability density function (PDF) as a Gaussian mixture. The novelty of this filter lies in the update step. If the likelihood has a bounded support made up of different regions, we can use a modified prior PDF, which is a mixture, that meets Bayes' rule ...
Ángel F. García-Fernández, Mark R. Morelande, Jesús Grajal   +2 more
openaire   +1 more source

Benchmarking the Transferability of Real‐Time State of Charge Algorithms to Sodium‐Ion Cells Using an Open‐Source Diagnostics Framework

Batteries &Supercaps, Volume 9, Issue 2, February 2026.
Our open‐source evaluation framework enables rigorous benchmarking of real‐time algorithims. We showcase its functionality through a sodium‐ion battery case study, highlighting key strenghts and limitations for SOC diagnostics. Despite the abundance of battery state estimation algorithms in the BMS literature, their applicability to emerging cell ...
Katharina Lilith Quade, Elias Hempen, Hanna van den Berg, Dominik Jöst, Franziska Berger, Florian Ringbeck, Dirk Uwe Sauer   +6 more
wiley   +1 more source

Estimation of Lithium-Ion Battery State of Charge: A Comparative Study of Four Variants of Kalman Filters Based on Equivalent Circuit Model

Emitor: Jurnal Teknik Elektro
State of Charge (SoC) adalah parameter kritis dalam Sistem Manajemen Baterai (BMS) lithium-ion, karena mempengaruhi keselamatan, kerahasiaan, dan efisiensi operasional.
Axiosa Nalendra Haidar Putra, Arya Kusumawardana, Heri Wijayanto, Satrio Prakoso   +3 more
doaj   +1 more source

On Iterative Unscented Kalman Filter using Optimization

2019 22th International Conference on Information Fusion (FUSION), 2019
The unscented Kalman filter (UKF) is a very popular solution for estimation of the state in nonlinear systems. Similar to the extended Kalman filter (EKF) and contrary to the Kalman filter (KF) for linear systems, the UKF provides no guarantees that the filter updates will improve the filtered state estimate.
Skoglund, Martin, Gustafsson, Fredrik, Hendeby, Gustaf   +2 more
openaire   +3 more sources

Online Correction Method for Ratio Methods by Using Geomagnetic Sensors Based on Kalman Filter

IEEE Access, 2019
By eliminating the data offset caused by a disturbing magnetic field during the flying condition of a spinning projectile, an adaptive unscented Kalman filter is applied to estimate the actual data of a geomagnetic field and the false value introduced by
Wei Wang, Yulin Liu
doaj   +1 more source

A higher order correlation unscented Kalman filter [PDF]

Applied Mathematics and Computation, 2013
Many nonlinear extensions of the Kalman filter, e.g., the extended and the unscented Kalman filter, reduce the state densities to Gaussian densities. This approximation gives sufficient results in many cases. However, this filters only estimate states that are correlated with the observation.
openaire   +4 more sources

Unscented Kalman Filter for Determination of Spacecraft Attitude Using Different Attitude Parameterizations and Real Data

Journal of Aerospace Technology and Management, 2016
The non-linear estimators are certainly the most important algorithms applied to real problems, especially those involving the attitude estimation of spacecraft.
Roberta Veloso Garcia, Hélio Koiti Kuga, Maria Cecília F. P. S. Zanardi   +2 more
doaj  

Unscented type Kalman filter: limitation and combination

IET Signal Processing, 2013
This study investigates the shortcomings of existing unscented type Kalman filters (UTKFs) used for state estimation problem of non‐linear stochastic dynamic systems. There are three kinds of UTKFs – the traditional unscented Kalman filter, the cubature Kalman filter and the transformed unscented Kalman filter.
Lubin Chang, Baiqing Hu, An Li, Fangjun Qin   +3 more
openaire   +1 more source

Research on a mixed prediction method to vehicle integrated navigation systems

International Journal of Advanced Robotic Systems, 2019
Aiming to improve the positioning accuracy of vehicle integrated navigation system (strapdown inertial navigation system/Global Positioning System) when Global Positioning System signal is blocked, a mixed prediction method combined with radial basis ...
Di Zhao, Huaming Qian, Dingjie Xu
doaj   +1 more source

EFFICIENCY ANALYSIS OF EXTENDED KALMAN FILTERING, UNSCENTED KALMAN FILTERING AND UNSCENTED PARTICLE FILTERING

Научный вестник МГТУ ГА, 2016
The paper contains algorithms for solving the problem of nonlinear filtering. The nonlinear approximate filters presented are: the extended Kalman filter (EKF), the uncented Kalman filter (UKF) and unscented Particle Filter (UPF). The flow-charts for the listed algorithms are presented and a corresponding software complex based on these algorithms is ...
openaire   +1 more source