Results 101 to 110 of about 7,896 (220)

FLEXIBLE LOW-COST HW/SW ARCHITECTURES FOR TEST, CALIBRATION AND CONDITIONING OF MEMS SENSOR SYSTEMS [PDF]

open access: yes, 2011
During the last years smart sensors based on Micro-Electro-Mechanical systems (MEMS) are widely spreading over various fields as automotive, biomedical, optical and consumer, and nowadays they represent the outstanding state of the art.
SECHI, FRANCESCO
core  

Estimation of state-of-charge based on unscented Kalman particle filter for storage lithium-ion battery

open access: yesThe Journal of Engineering, 2018
Battery management systems (BMS) are widely used in energy storage systems and electric vehicles. The precise estimation of state-of-charge is a key factor affecting the performance of BMS.
Shengwei Gao   +3 more
doaj   +1 more source

Alternative framework for the iterated unscented Kalman filter

open access: yesIET 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

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

A novel adaptive unscented Kalman filter for nonlinear estimation [PDF]

open access: yes, 2007
The normal unscented Kalman filter (UKF) suffers from performance degradation and even divergence while mismatch between the noise distribution assumed to be known as a priori by UKF and the true ones in a real system. In this paper, a novel adaptive UKF
Song Q(宋崎)   +3 more
core  

An Improved Unscented Kalman Filter Algorithm for Radar Azimuth Mutation

open access: yesInternational 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   +5 more
doaj   +1 more source

Mixture truncated unscented Kalman filtering [PDF]

open access: yes, 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   +2 more
openaire   +1 more source

A higher order correlation unscented Kalman filter [PDF]

open access: yesApplied 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

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

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

open access: yesApplied 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

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