Results 71 to 80 of about 3,255 (177)

Unscented Kalman Filter for Brain-Machine Interfaces

PLoS ONE, 2009
Brain machine interfaces (BMIs) are devices that convert neural signals into commands to directly control artificial actuators, such as limb prostheses. Previous real-time methods applied to decoding behavioral commands from the activity of populations of neurons have generally relied upon linear models of neural tuning and were limited in the way they
Zheng Li, Joseph E O'Doherty, Timothy L Hanson, Mikhail A Lebedev, Craig S Henriquez, Miguel A L Nicolelis   +5 more
openaire   +4 more sources

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

Energy 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

A Dynamic State-of-Charge Estimation Method for Electric Vehicle Lithium-Ion Batteries

Energies, 2019
With the increasing environmental concerns, plug-in electric vehicles will eventually become the main transportation tools in future smart cities. As a key component and the main power source, lithium-ion batteries have been an important object of ...
Xintian Liu, Xuhui Deng, Yao He, Xinxin Zheng, Guojian Zeng   +4 more
doaj   +1 more source

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, Weijia Xing, Zhilou Yu, Jichen Chen, Qingyue Ma   +4 more
wiley   +1 more source

Performance analysis of state of charge and state of health prediction using Kalman filter techniques with battery parameter variation

Global Energy Interconnection
Accurate estimation of the State of Charge (SOC), State of Health (SOH), and Terminal Resistance (TR) is crucial for the effective operation of Battery Management Systems (BMS) in lithium-ion batteries.
Ranagani Madhavi, Indragandhi Vairavasundaram   +1 more
doaj   +1 more source

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

The 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, Mingren Kang, Longnv Li, Xiaoming Liu   +3 more
doaj   +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

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, Wenhao Xu, Zhaoyu Zhang, David Schlipf, Paolo Schito, Alberto Zasso, Zhen Gao, Yujin Dong   +7 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

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