Results 91 to 100 of about 19,182 (197)

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

Alternative framework for the iterated unscented Kalman filter

IET Signal Processing, 2017
The iterated version of a family of non‐linear Kalman filters, named the unscented transform (UT) based unscented Kalman filters (UKF), are revisited. Two existing frameworks of the iterated UKF are analysed and some shortcomings of them are pointed out.
Guobin Chang, Tianhe Xu, Qianxin Wang
openaire   +1 more source

Multi‐Channel Neural Interface for Neural Recording and Neuromodulation

Small Methods, Volume 10, Issue 3, 9 February 2026.
This review highlights recent advances in multi‐channel neural interface technologies, covering both high‐resolution electrophysiological recording systems and multifunctional platforms with integrated capabilities. It also discusses innovations in structure and materials for reduced invasiveness, state‐of‐the‐art data analysis, including machine ...
Eunmin Kim, Won Gi Chung, Enji Kim, Myoungjae Oh, Joonho Paek, Taekyeong Lee, Dayeon Kim, Seung Hyun An, Sumin Kim, Jang‐Ung Park   +9 more
wiley   +1 more source

An Improved Unscented Kalman Filter Algorithm for Radar Azimuth Mutation

International Journal of Aerospace Engineering, 2020
An improved UKF (Unscented Kalman Filter) algorithm is proposed to solve the problem of radar azimuth mutation. Since the radar azimuth angle will restart to count after each revolution of the radar, and when the aircraft just passes the abrupt angle ...
Dazhang You, Pan Liu, Wei Shang, Yepeng Zhang, Yawei Kang, Jun Xiong   +5 more
doaj   +1 more source

Comparing Kalman Filters and Observers for Power System Dynamic State Estimation with Model Uncertainty and Malicious Cyber Attacks

, 2018
Kalman filters and observers are two main classes of dynamic state estimation (DSE) routines. Power system DSE has been implemented by various Kalman filters, such as the extended Kalman filter (EKF) and the unscented Kalman filter (UKF).
Qi, Junjian, Taha, Ahmad F., Wang, Jianhui   +2 more
core  

Electrochemical Modeling and Degradation Analysis of Lithium‐Ion Batteries in High Temperature Environments

Battery Energy, Volume 5, Issue 1, January 2026.
A multi‐side‐reaction electrochemical model is developed to predict lithium‐ion battery degradation under high temperatures, incorporating SEI growth, electrode cracking, and electrolyte oxidation. The model shows strong agreement with experimental results, enabling accurate cycle life prediction and identification of dominant aging mechanisms ...
Fei Chen, Fan Yang, Haoran Chu, Jiatong Xu, Kaiyi Yang, Justice D. Akoto, Ali Haider, Xingrui Wang, Jie Yang, Xinhua Liu, Zhiming Feng, Rui Tan   +11 more
wiley   +1 more source

A New Constrained State Estimation Method Based on Unscented H∞ Filtering

Applied Sciences, 2020
The unscented Kalman filter (UKF) is widely used in many fields. When the unscented Kalman filter is combined with the H∞ filter (HF), the obtained unscented H∞ filtering (UHF) is very suitable for state estimation of nonlinear non-Gaussian systems ...
Yuanyuan Liu, Yaqiong Fu, Huipin Lin, Jingbiao Liu, Mingyu Gao, Zhiwei He   +5 more
doaj   +1 more source

A New Approach for Estimation of Lithium‐Ion Battery State of Charge and Health Using Mixed H∞/H2 Control With Sliding Mode Observer

Battery Energy, Volume 5, Issue 1, January 2026.
The rise of renewable energy sources is accompanied with a depletion of raw materials used in batteries. The project summarized in this paper presents a system aiming to estimate the SOC and SOH of Lithium‐Ion Battery. This is achieved Using Mixed H∞/H2 Control with Sliding Mode Observer.
Chadi Nohra, Jalal Faraj, Bechara Nehme, Mahmoud Khaled, Rachid Outbib   +4 more
wiley   +1 more source

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

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