Results 61 to 70 of about 18,908 (211)
Robust Derivative Unscented Kalman Filter Under Non-Gaussian Noise
IEEE Access, 2018 A robust derivative unscented Kalman filter is proposed for a nonlinear system with non-Gaussian noise and outliers based on Huber function. In this paper, the time update process can be performed using a Kalman filter (KF), and measurement update ...
Lijian Yin +4 more
doaj +1 more source
Sequential Bayesian inference for static parameters in dynamic state space models [PDF]
, 2017 A method for sequential Bayesian inference of the static parameters of a dynamic state space model is proposed. The method is based on the observation that many dynamic state space models have a relatively small number of static parameters (or hyper ...
Bhattacharya, Arnab, Wilson, Simon
core
A Robust Transformer–Based Error Compensation Method for Gyroscope of IMUs
Journal of Field Robotics, Volume 43, Issue 2, Page 932-948, March 2026.ABSTRACT Inertial Measurement Units (IMUs), comprising gyroscopes and accelerometers, are fundamental for motion estimation in navigation and robotics. However, their performance is often degraded by nonlinear and time‐varying errors, such as bias drift, scale‐factor deviations, and sensor noise.
Xin Ye +4 more
wiley +1 more source
On Wind Directions Estimated by Nacelle Lidar Under Different Reconstruction Methods
Wind Energy, Volume 29, Issue 3, March 2026.ABSTRACT The wind direction is closely linked to the power performance and structural loads of wind turbines. Conventional nacelle‐mounted vanes or sonic anemometers face errors associated with airflow distortions caused by turbine blades. Nacelle‐mounted lidar systems offer line‐of‐sight speed measurements from multiple positions ahead of the rotor ...
Feng Guo +7 more
wiley +1 more source
UKF based estimation approach for DVR control to compensate voltage swell in distribution systems
Ain Shams Engineering Journal, 2018 The Dynamic Voltage Restorer (DVR) is identified as the best solution for mitigation of voltage sag and swell related problems in the much taped distribution system. The compensation performance of the DVR very much depends on its control algorithm.
P. SasiKiran, T. Gowri Manohar
doaj +1 more source
Machine learning of radial basis function neural network based on Kalman filter: Introduction [PDF]
Tehnika, 2014 This paper analyzes machine learning of radial basis function neural network based on Kalman filtering. Three algorithms are derived: linearized Kalman filter, linearized information filter and unscented Kalman filter.
Vuković Najdan L., Miljković Zoran Đ.
doaj +1 more source
The Ensemble Kalman Filter: A Signal Processing Perspective
, 2017 The ensemble Kalman filter (EnKF) is a Monte Carlo based implementation of the Kalman filter (KF) for extremely high-dimensional, possibly nonlinear and non-Gaussian state estimation problems.
Fritsche, Carsten +3 more
core +1 more source
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 +6 more
wiley +1 more source
The Coordinate Particle Filter - A novel Particle Filter for High Dimensional Systems
, 2015 Parametric filters, such as the Extended Kalman Filter and the Unscented Kalman Filter, typically scale well with the dimensionality of the problem, but they are known to fail if the posterior state distribution cannot be closely approximated by a ...
Bohg, Jeannette +4 more
core +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 +9 more
wiley +1 more source