Results 61 to 70 of about 19,010 (211)

Robust Gaussian Filtering using a Pseudo Measurement

open access: yes, 2016
Many sensors, such as range, sonar, radar, GPS and visual devices, produce measurements which are contaminated by outliers. This problem can be addressed by using fat-tailed sensor models, which account for the possibility of outliers. Unfortunately, all
Bohg, Jeannette   +6 more
core   +1 more source

Research on Collaborative Estimation of SOC and SOH for Lithium‐Ion Batteries Based on BS‐SRCKF‐DEKF

open access: yesEnergy Science &Engineering, Volume 14, Issue 3, Page 1416-1430, March 2026.
This paper presents a novel method for jointly estimating the state of charge (SOC) and state of health (SOH) in lithium‐ion battery systems. A second‐order hysteresis RC model and the BS‐SRCKF‐DEKF algorithm are used to improve estimation accuracy. Simulation and experimental results verify the method′s robustness and superior performance.
Meijin Lin, Haokun Lin, Jiehua Tan
wiley   +1 more source

Unscented Kalman Filters for Riemannian State-Space Systems

open access: yes, 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

A Robust Transformer–Based Error Compensation Method for Gyroscope of IMUs

open access: yesJournal 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

The Coordinate Particle Filter - A novel Particle Filter for High Dimensional Systems

open access: yes, 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

On Wind Directions Estimated by Nacelle Lidar Under Different Reconstruction Methods

open access: yesWind 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

open access: yesAin 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]

open access: yesTehnika, 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

Sequential Bayesian inference for static parameters in dynamic state space models [PDF]

open access: yes, 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  

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

open access: yesBatteries &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

Home - About - Disclaimer - Privacy