Results 81 to 90 of about 18,908 (211)
Generalized Nonlinear Complementary Attitude Filter
, 2011 This work describes a family of attitude estimators that are based on a generalization of Mahony's nonlinear complementary filter. This generalization reveals the close mathematical relationship between the nonlinear complementary filter and the more ...
Jensen, Kenneth
core +1 more source
IET Generation, Transmission &Distribution, Volume 20, Issue 1, January/December 2026.This paper proposes a time‐varying inertia estimation framework based on sensitivity‐guided clustering and aggregation. It can achieve high‐accuracy inertia estimation with limited measurements, reducing the relative error by nearly 10% compared with existing methods, and exhibit strong robustness to noise and disturbances.
Yulong Li +6 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 +5 more
doaj +1 more source
A New Perspective and Extension of the Gaussian Filter
, 2015 The Gaussian Filter (GF) is one of the most widely used filtering algorithms; instances are the Extended Kalman Filter, the Unscented Kalman Filter and the Divided Difference Filter.
Kappler, Daniel +3 more
core +1 more source
Adaptive High Manoeuvring Target Tracking Algorithm Based on CNN‐LSTM Fusion Architecture
IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.To solve the problems of model switching lag and tracking accuracy decline in interacting multiple model (IMM) algorithm in complex manoeuvring target tracking, an adaptive interacting multiple model unscented Kalman filter (IMM‐UKF) algorithm based on convolutional neural network and long short‐term memory network (CNN‐LSTM) fusion architecture is ...
Yuhan Cui +3 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
Unscented Kalman Filters for Riemannian State-Space Systems
, 2018 Unscented Kalman Filters (UKFs) have become popular in the research community. Most UKFs work only with Euclidean systems, but in many scenarios it is advantageous to consider systems with state-variables taking values on Riemannian manifolds.
Ishihara, João Y. +2 more
core +1 more source
IET Signal Processing, Volume 2026, Issue 1, 2026.The implementation of Kalman filter (KF) in tracking high‐dimensional, strongly correlated graph structured data is often complex and unstable. Meanwhile, in practical applications, the system may be subject to interference from non‐Gaussian noise and various cyberattacks.
Bingyu Yin, Xinmin Song, Wenling Li
wiley +1 more source
Adaptive Neural Unscented Kalman Filter
eight pages, ten ...
Levy, Amit, Klein, Itzik
openaire +2 more sources
International Journal of Energy Research, Volume 2026, Issue 1, 2026.While deep learning‐based approaches for state of health (SOH) estimation in lithium‐ion batteries have been actively studied, most models face deployment constraints in on‐device applications due to their high complexity and large number of parameters.
Yeonho Choi +3 more
wiley +1 more source